Past Term Seminar Schedule: Winter 2009 January 16, 2009 Naisyin Wang Texas A&M University , Department of Statistics Functional Latent Feature Models for Data with Longitudinal Covariate Processes January 23, 2009 Aixin Tan University of Florida, Department of Statistics Practical Central Limit Theorem for Markov Chain Monte Carlo Estimators January 30, 2009 Veronica Berrocal Duke University, Department of Statistical Science Stochastic Prediction Using Output from Numerical Models February 3, 2009 James Scott Duke University, Department of Statistical Science Bayesian Adjustment for Multiplicity in Regression and Functional Testing February 6, 2009 Pradeep Ravikumar University of California at Berkeley, Department of Statistics Sparse Model Estimation: Parametric and Nonparametric Instances February 10, 2009 Arindam Chatterjee Texas A&M University, Department of Statistics Bootstrapping Lasso Estimators February 13, 2009 XuanLong Nguyen Duke University, Department of Statistical Science Nonparametric and Distributed Decision Making Methods for Functional and Spatial Data February 17, 2009 Jarad Neimi Duke University, Department of Statistical Science Computational Methods for General State-Space Models February 19, 2009 Kshitij Khare Stanford University, Department of Statistics Inference in Guassian Covariance Graph Models March 6, 2009 Yves Atchade University of Michigan, Department of Statistics Adaptive Markkov Chain Monte Carlo Methods March 13, 2009 William Q. Meeker Iowa State University, Department of Statistics and Center for Nondestructive Evaluation Using Accelerated Life Tests Results to Predict Product Field Reliability March 20, 2009 Ben Hansen University of Michigan, Department of Statistics Attributing Effects to a Cluster Randomized Get-Out-The-Vote Campaign March 27, 2009 Jonathan Evans Institute of Linguistics, Academia Sinica, Taiwan and Visiting Scholar, University of Michigan, Department of Statistics Toward a Comprehensive Model of Pitch in Speech April 3, 2009 Matias D. Cattaneo University of Michigan, Department of Economics Small Bandwidth Asymptotics for Density-Weighted Average Derivatives April 7, 2009 Jie Peng University of California at Davis, Department of Statistics Semiparametric Modelling of Autonomous Nonlinear Dynamical Systems with Applications April 10, 2009 MSSISS - Brad Efron Stanford University, Department of Statistics Large-Scale Prediction Problems April 17, 2009 Sidney Resnick Cornell University, School of Operations Research and Information Engineering The Conditional Extreme Value Model and Data Network Sessions Fall 2008 September 12, 2008 Ross Leadbetter University of North Carolina, Chapel Hill, Department of Statistics Some Issues in Extreme Value theory and Stochastic Risk Modeling - With Special Reference to Damage and Capsize Risks for Vessels in Stormy Seas September 19 , 2008 Jeff Gill Washington University, St. Louis, Department of Political Science Nonparametric Priors for Ordinal Bayesian Social Science Models: Specification and Estimation September 23 , 2008 Rachel Altman Simon Fraser University, Department of Statistics and Actuarial Science Efficient Designs for Multiple Sclerosis Clinical Trials September 26 , 2008 Ed Ionides University of Michigan, Department of Statistics Infectious Disease Dynamics: A Statistical Perspective October 3, 2008 Jeff Rosenthal University of Toronto, Department of Statistics Adaptive Markov Chain Monte Carlo Algorithms October 10 , 2008 Career Fair October 17 , 2008 Yazhen Wang NSF and University of Connecticut Volatility Matrix Estimation for High-Frequency Financial Dataa October 24 , 2008 Peter Guttorp University of Washington, Department of Statistics Recent Advances in Modeling Space-time Data from Air Quality Monitoring October 31 , 2008 Liza Levina University of Michigan, Department of Statistics Covariance Regularization in High Dimensions November 7, 2008 Xuming He University of Illinois, Champaign, Department of Statistics On Dimensionality of Mean Structure from a Single Data Matrix November 14, 2008 Yufeng Liu Department of Statistics and Operations Research, Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill The Large Margin Unified Machine: A Bridge Between Hard and Soft Classification November 21, 2008 Dave Higdon Los Alamos National Laboratory Combining Detailed Computer Simulations and Experimental Data December 5 , 2008 Daniel Kaplan Macalester College , Department of Mathematics Using Geometry to Develop Statistical Reasoning Winter 2008 January 4, 2008 Ou Zhao University of Michigan, Department of Statistics Isotonic Regression and Stationary Random Walks January 11, 2008 No Seminar January 18, 2008 Stilian Stoev University of Michigan, Department of Statistics Max-stable processes: representations, ergodic properties and some statistical applications January 25, 2008 Jenny Young University of Michigan, Department of Mathematics Optimal Investment Strategy to Minimize the Probability of Lifetime Ruin February 1, 2008 Robert L. Wardrop University of Wisconsin-Madison, Department of Statistics Reflections on Teaching Introductory Statistics: The first 33 years February 6, 2008 Ying (Alison) Cheng University of Illinois at Urbana-Champaign, Department of Psychology Computerized Adaptive Testing (CAT): Issues and Possible Solutions to Some of Them February 8, 2008 MSSISS Colm O'Muircheartaigh, Ph.D. University of Chicago & National Opinion Research Center (NORC) February 14, 2008 Eric Tchetgen Harvard University, School of Public Health, Department of Biostatistics Novel Applications of U-statistics: Robust Inference in the Semilinear Regression Model and Optimal Model Selection with Data Missing at Random February 15, 2008 Tony Cai The Wharton School, University of Pennsylvania, Department of Statistics Functional Data Analysis: Prediction and Estimation February 22, 2008 Jiashun Jin Purdue University, Carnegie Mellon University, Department of Statistics Innovated Higher Criticism for Detecting Sparse Signals in Correlated Noise March 7, 2008 Robert Keener University of Michigan, Department of Statistics Hybrid Bootstrap Confidence Regions March 13, 2008 Moulinath Banerjee Joint with Biostatistics University of Michigan, Department of Statistics and Biostatistics Asymptotics of Interval Censored Data Under Various Observation Time Schemes March 14, 2008 Gareth James University of Southern California, Information and Operations Management Department Variable Inclusion and Shrinkage Algorithms March 21, 2008 Regina Dolgoarshinnykh Columbia University, Department of Statistics Criticality in Final Outcome of SIS Epidemic Models March 28, 2008 Ejaz Ahmed University of Michigan, Department of Statistics University of Windsor, Department of Mathematics & Statistics Shrinkage versus LASSO/LARS March 28, 2008 Kevin Ross Probability Seminar joint with AIM Seminar Stanford University, Department of Statistics Optimal Stopping and Free Boundary Characterizations for Some Brownian Control Problems April 4, 2008 Alex Korostelev Wayne State University, Department of Mathematics Detection of Changes from Multi-Channel Observations April 11, 2008 Boris Rozovsky Brown University, Department of Applied Mathematics A Filtering Approach to Tracking Volatility from Prices Observed at Random Times Fall 2007 September 14, 2007 George Michailidis University of Michigan, Department of Statistics Identifiability and Design in Network Tomography September 21, 2007 Robb Muirhead Pfizer, Inc. Random Rotations, and Statistical Inference about QT Signals September 28, 2007 Woodroofe Lecture Joint with the Applied Interdisciplinary Mathematics Seminar University of California, San Diego, Department of Mathematics Stochastic Networks with Resource Sharing October 5, 2007 Anna Amirdjanova Univeristy of Michigan, Department of Statistics Nonlinear Filtering of Random Fields in the Presence of Long-Memory Noise October 11, 2007 Vance Berger, Ph.D. Joint with Biostatistics National Cancer Institute Selection Bias and Covariate Imbalance in Randomized Clinical Trials October 12, 2007 Bodhisattva Sen University of Michigan, Department of Statistics Bootstrap in Some Non-Standard Problems October 19, 2007 Ananda Sen University of Michigan, Center for Statistical Consultation and Research (CSCAR) Models and Methodologies for Recurrent Event Data - from Hardwares to Mice-and-Men October 26, 2007 Richard Davis Columbia University, Department of Statistics Structural Break Detection in Time Series Models November 2, 2007 Ji Zhu University of Michigan, Department of Statistics Group Variable Selection via Hierarchical Lasso and its Oracle Property November 9, 2007 Ming Yuan Georgia Tech, School of Industrial & Systems Engineering Model Selection and Estimation with Multiple Rproducing Kernel Hilbert Spaces November 16, 2007 Jianqing Fan Princeton University, Department of Operations Research & Financial Engineering Sure Independence Screening for Ultra-High Dimensional Feature November 30, 2007 Deepak Agarwal Yahoo! Senior Research Scientist Estimating Query-Ad Click Rates through Scalable Nested Random Effects Model December 7, 2007 Peter F. Craigmile Ohio State University, Department of Statistics Space-Time Models: A Spatially Dependent Filtering Approach Winter 2007 January 16, 2007 Jean Opsomer, Joint with ISR Iowa State University , Department of Statistics Endogenous Post-Stratification in Surveys January 26, 2007 Mary Meyer University of Georgia , Department of Statistics Decreasing and Unimodal Density Estimation Using Shape-Restricted Regression Splines February 2, 2007 Tailen Hsing Ohio State University , Department of Statistics Spectral Density Estimation Through a Regularized Inverse Problem February 9, 2007 Gennady Samorodnitsky Cornell University , School of Operations Research and Industrial Engineering Tails of Infinite Sums February 16, 2007 T. E. Raghunathan University of Michigan , Center for Consultation and Research Spatial and Temporal Models to Assess the Effect of Exposure to Airborne Particles on Cardiovascular Disease February 23, 2007 Alena Ixmocane Scott University of Michigan , Institute for Social Research Denoising by Wavelet Thresholding Using Multivariate Minimum Distance Partial Density Estimation March 9, 2007 Tyrone Duncan University of Kansas , Department of Mathematics Fractional Brownian Motion and Solutions of Stochastic Equations March 16, 2007 Donald Rubin , Michigan Student Symposium for Interdisciplinary Statistical Science 2007 Harvard University , Department of Statistics Validly Estimating True Dose-Response When Only Treatment versus Control is Randomized: Principal Stratification for Causal Inference with Extended Partial Compliance March 23, 2007 Erhan Bayraktar University of Michigan , Department of Mathematics Quickest Detection for a Poisson Process with a Phase-Type Change-Time Distribution March 30, 2007 Jasjeet Singh Sekhon University of California at Berkeley , Survey Research Center Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance April 6, 2007 Runze Li Penn State University , Department of Statistics Variable Selection in Semiparametric Regression Modeling April 13, 2007 Yazhen Wang University of Connecticut , Department of Statistics Multiscale Analysis of High-Frequency Financial Data Fall 2006 September 8, 2006 Dalibor Volny University of Michigan , Department of Statistics Exactness in a Wu-Woodroofe Martingale Approximation September 14, 2006 Jane-Ling Wang University of California at Davis , Department of Statistics Joint Modeling of Longitudinal Survival Data September 22, 2006 Hans-Georg Muller University of California at Davis , Department of Statistics Representations of Functional Data, with Applications to Classification and Volatility Modeling September 29, 2006 Naisyin Wang Texas A&M, Department of Statistics Accounting for Covariance in Semiparametric Modeling of Longitudinal/Clustered Data October 3, 2006 Ioannis Karatzas, Inaugural Michael B. Woodroofe Distinguished Lecture Columbia University , Department of Mathematics and Statistics Recent Approaches to Optimal Stopping, with Applications October 6, 2006 Walter R. Mebane, Jr. Cornell University , Department of Government Vote Counts, Recounts and Statistics October 13, 2006 Steven Scott University of Southern California , Department of Information and Operations Management Data Augmentation, Frequentist Estimation, and the Bayesian Analysis of Multinomial Logit Models October 20, 2006 Paul Holland Educational Testing Service, Princeton , New Jersey Fairness in Testing, Test Equating and Gaussian Kernel Smoothing October 27, 2006 Jacqueline Hughes-Oliver North Carolina State University , Department of Statistics Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree November 3, 2006 Ed Ionides University of Michigan , Department of Statistics Six Problems in Analyzing Biological Population Data November 10, 2006 Jessica Utts University of California at Davis , Department of Statistics GAISEing into the Future: New Developments in Statistics Education November 14, 2006 Susan Murphy University of Michigan , Departments of Statistics, Psychiatry, and ISR Meeting the Future in Managing Chronic Disorders: Individually Tailored Strategies November 17, 2006 Michael R. Kosorok University of North Carolina at Chapel Hill , Department of Biostatistics Marginal Asymptotics for the "Large P, Small N" Paradigm: With Applications to Microarray Data December 1, 2006 Alexander Tsodikov University of Michigan , Department of Biostatistics Fake Mixture Models and a Generalization of Self-Consistency December 8, 2006 Mark M. Meerschaert Michigan State University , Department of Statistics Fractional Calculus, Heavy Tails, and Applications Winter 2006 January 13, 2006 Anna Gilbert University of Michigan , Department of Mathematics Statistical Signal Recovery January 20, 2006 Susan Murphy University of Michigan , Department of Statistics Experiments and Dy nami c Treatment Regimes January 27, 2006 Zhihua Qiao University of Pennsylvania , Wharton School , Department of Statistics Sparse Linear Discriminant Analysis January 30, 2006 Yves Atchade University of Ottawa , Department of Mathematics and Statistics Some Current Challenges in Adaptive MCMC February 3, 2006 Tom Venable University of Michigan , Department of Statistics Non-Inferiority - the Basics, A Saga, and Maybe an Opportunity February 7, 2006 Lisha Chen University of Pennsylvania , Department of Statistics Local Multidimensional Scaling: A Nonlinear Dimension Reduction Method February 10, 2006 Jeongyoun Ahn University of North Carolina at Chapel Hill , Department of Statistics and Operations Research High Dimension, Low Sample Size Data Analysis February 13, 2006 Jimin Ding University of California at Davis , Department of Statistics Joint Modelling of Survival and Longitudinal Data February 17, 2006 Xiaofeng Shao University of Chicago , Department of Statistics Fourier Analysis in Time Series: Some Theory and an Application to Space-Time Modeling February 21, 2006 Giles Hooker McGill University , Department of Psychology Statistics for Differential Equations March 7, 2006 Alexander Rakhlin MIT Stability and Consistency of Approximate Empirical Risk Minimization Algorithms March 10, 2006 Qing Zhou Harvard University , Department of Statistics Detecting Cis-Regulatory Modules and Motifs by Modeling Correlated Structures in Genomic Sequences March 17, 2006 Aaron A. King University of Michigan , Department of Ecology & Evolutionary Biology and Mathematics Rhythm and Noise: Detection of Temporal Patterns in Ecological Data and What it Tells Us March 24, 2006 Hannes Leeb Yale University , Department of Statistics Model Selection and Inference in Regression when the Number of Explanatory Variables is of the Same Order as Sample Size March 31, 2006 Diane Lambert Google A Statistical Model of a Wireless Call April 7, 2006 Xiaotong Shen University of Minnesota , Department of Statistics Model Assessment, Selection and Averaging April 14, 2006 Nicholas Jewell (Joint with Biostatistics) University of California at Berkeley , Department of Biostatistics and Statistics Regression Analysis of a Disease Onset Distribution Using Diagnosis Data Fall 2005 September 16, 2005 Alan Karr National Institute of Statistical Sciences Secure Statistical Analysis of Distributed Databases without Data Integration September 23, 2005 Ron W. Butler Colorado State University , Department of Statistics Improved Inference for a Log-Rank Class of Permutation Tests Using Saddlepoint Approximations September 24-25, 2005 (Saturday and Sunday Seminar) A Conference on Nonparametric Inference and Probability with Applications to Science Honoring Michael Woodroofe September 30, 2005 Michael Lechner University of St. Gallen , Department of Econometrics Identification of the Effects of Dy nami c Treatments by Sequential Conditional Independence Assumptions October 7, 2005 No Seminar October 14, 2005 Kerby Shedden University of Michigan , Department of Statistics Penalized Likelihood Finite Mixture Analysis of Sparse Binary Trajectory Data October 21, 2005 Yufeng Liu University of North Carolina , Department of Statistics & Operations Research Recent Developments of Psi-Learning October 28, 2005 Petar Momcilovic University of Michigan , Department of Electrical Engineering and Computer Science Queues with Many Servers: The QED Regime November 4, 2005 Ian McKeague Columbia University , Department of Biostatistics Extending the Scope of Empirical Likelihood November 11, 2005 Sergey Lototsky University of Southern California , Department of Mathematics Wiener Chaos and Separation of Variables November 18, 2005 Nancy Reid University of Toronto , Department of Statistics Applied Asymptotics December 2, 2005 Yasuo Amemiya IBM T. J. Watson Research Center Nonlinear Structural Equation Modeling of Multivariate Data December 9, 2005 Geoff Vining Virginia Tech, Department of Statistics Exact Inference for Response Surface Designs Within a Split-Plot Structure Winter 2005 January 14, 2005 Wenbo V. Li  Department of Mathematical Sciences, University of Delaware Gaussian Methods: New Tools and Applications January 21, 2005 Emery N. Brown Harvard University/MIT, Division of Health Sciences and Technology, Department of Anesthesia and Critical Care, Massachusetts General Hospital Using the State-Space Paradigm to Analyze Information Representation in Neural Systems January 28, 2005 Hui Zou Department of Statistics, Stanford University Regularization and Variable Selection via the Elastic Net February 1, 2005 Arka P. Ghosh Department of Statistics & Operations Research, University of North Carolina at Chapel Hill Optimal Controls for Stochastic Networks in Heavy Traffic February 4, 2005 Stilian Stoev Department of Mathematics and Statistics, Boston University Asymptotic Self-Similarity and Wavelet-Based Hurst Parameter Estimation for Stable Processes February 8, 2005 Ann Lee Department of Mathematics, Yale University Geometric tools for high-dimensional data analysis February 11, 2005 Thomas E. Nichols Department of Biostatistics, University of Michigan Statistical Challenges in fMRI February 22, 2005 (Joint with Biostatistics) Nicoleta Serban Department of Statistics, Carnegie Mellon University Analysis of Multiple Curves and Multiple Peaks with Application to Molecular Biology February 25, 2005 Jose-Antonio Costa Department of Electrical Engineering and Computer Science, University of Michigan Random Graphs and Entropy for Structure Discovery in High-Dimensional Data March 8, 2005 Chris Hans (Joint with Biostatistics) Institute of Statistics and Decision Sciences, Duke University Regression Model Search and Uncertainty with Many Predictors March 11, 2005 Debashis Paul Department of Statistics, Stanford University Principal Components Analysis for High Dimensional Data March 18, 2005 Hua-Hua Chang Department of Educational Psychology, University of Texas at Austin Item Selection In Computerized Adaptive Testing, From Robbins-Monro to Lord and Beyond March 25, 2005 Stephen Marron Department of Statistics and Operations Research, University of North Carolina at Chapel Hill Object Oriented Data Analysis April 1, 2005 Murad Taqqu Department of Mathematics and Statistics, Boston University Self-Similarity and Computer Network Traffic April 8, 2005 Magda Peligrad Department of Mathematical Sciences, University of Cincinnati Some Sharp Inequalities and Asymptotic Results Under Martingale-Like Conditions April 14, 2005  Joint with Biostatistics Roderick Little Department of Biostatistics, University of Michigan A Bayes/Frequentist Roadmap April 15, 2005 Robert L. Obenchain US Medical - Outcomes Research Lilly Corporate Center, Indianapolis Unsupervised Propensity Scoring: NN and IV Plots Fall 2004 September 16, 2004 Yingnian Wu (Joint with Biostatistics) Department of Statistics, UCLA Information Scaling of Visual Images September 17, 2004 K. P. Unnikrishnan General Motors R & D Center, Warren , Michigan Connecting Statistics and Computer Science Methods in Temporal Data Mining September 24, 2004 Marianne Huebner Department of Statistics and Probability, Michigan State University Dy nami cal Modeling of Biological Processes October 1, 2004 Eitan Greenshtein Department of Statistics, Haifa University , Haifa , Israel Towards Sequential Estimation of Sparse Vector of Means October 8, 2004 Heping Zhang Department of Biostatistics, Yale University Genetic Analysis of Ordinal Traits and Statistical Challenges October 15, 2004 Jianbo Shi Department of Computer & Information Science, University of Pennsylvania Finding Unusual Activity in Video October 22, 2004 Marie Davidian  (Joint with Biostatistics) Department of Statistics, North Carolina State University What's In Between Dose and Response? Pharmacokinetics, Pharmacody nami cs, and Statistics October 29, 2004 Vanja Dukic  (Joint with Biostatistics) Department of Health Studies, University of Chicago A Bayesian SEIR Approach to Modeling Smallpox Epidemics November 5, 2004 David Siegmund Department of Statistics, Stanford University Model Selection in Irregular Problems: Applications to Gene Mapping November 12, 2004 Moulinath Banerjee Department of Statistics, University of Michigan Inference for Conditionally Parametric Response Models November 15, 2004 Yoav Freund (Special Seminar) Department of Computer Science, Columbia University Applications of Machine Learning in Bio-Informatics and Computer Vision November 19, 2004 Samuel Kou (Joint with Biostatistics) Department of Statistics, Harvard University Stochastic Modeling and Inference in Single Molecule Biophysics December 3, 2004 Serena Ng Department of Economics, University of Michigan Diffusion Index Forecasts with A Large Number of Predictors December 10, 2004 Brian Thelen Department of Statistics, University of Michigan Joint Statistical Estimation for Novel Imaging Applications  Winter 2004 January 16 Steve Walker University of Bath , Department of Mathematical Sciences Understanding Bayesian Consistency January 23 Nicholas Hengartner Los Alamos National Laboratory, Statistical Sciences A New Strategy for Parameter Estimation in Nonlinear Errors in Variable Models February 6 Ery Arias-Castro Stanford University , Department of Statistics Connect-The-Dots: How Many Random Points Can A Regular Curve Pass Through? February 11 Tatiyana Apanasovich Texas A&M University , Department of Statistics  Semiparametric Spatial Modeling of Binary Outcomes, With Application to Aberrant Crypt Foci in Colon Carcinogenesis Experiments February 12 Samantha Cook (Joint with Biostatistics) Harvard University , Department of Statistics Imputing Missing Outcomes when Clinical Trials Become Open-Label February 16 Mathias Drton University of Washington , Department of Statistics Iterative Conditional Fitting for Gaussian Ancestral Graph Models March 5 Saharon Rosset IBM T. J. Watson Research Center Piecewise Linear Regularized Solution Paths March 12 Tony Cai The Wharton School , University of Pennsylvania , Department of Statistics  Some Recent Results on Adaptive Wavelet Estimation March 19 Jun Zhang University of Michigan , Department of Psychology The Manifold of Probability Density Functions March 22 Persi Diaconis Stanford University , Department of Statistics What do we know about the Metropolis algorithm? March 26 Cun-Hui Zhang Rutgers University , Department of Statistics Two-Way Semi-Linear Regression with Applications to Microarray Data  April 2 Satinder Singh University of Michigan , Electrical Eng & Computer Science Predictive State Representations (A new class of models for discrete-time controlled dynamical systems) April 9 Steve Qin University of Michigan , Department of Biostatistics Identification of co-regulated genes through Bayesian clustering of predicted regulatory binding sites April 16 Richard Dykstra University of Iowa , Department of Statistics & Actuarial Science Characterization of the Least Concave Majorant of Brownian Motion with Application to Construction April 23 Dr. Leo Goodman University of California at Berkeley, Departments of Sociology and Statistics Three Different Ways To View Cross-Classified Categorical Data: Rasch Models, Log-Linear Models, and Latent-class Models. A Simple Example and a Not So Simple Example Fall 2003 September 12 Liza Levina University of Michigan/Department of Statistics The Benefits of Assuming Independence in Classification. When There Are Many More Variables Than Observations September 19 Mark Freidlin University of Maryland-College Park/Department of Mathematics On Stochasticity of Incompressible 3D-Fluid September 26 Amarjit Budhiraja University of North Carolina at Chapel Hill/Department of Statistics An Ergodic Control Problem for Constrained Diffusions October 3 Dan Bauer (Joint with Education/Psychology) North Carolina State University/Department of Psychology Finite Mixture Growth Models: Problems and Opportunities October 10 Amir Dembo Stanford University/Departments of Statistics and Mathematics Large Portfolio Losses October 17 (Joint with Biostatistics) Jiahua Chen University of Waterloo/Department of Statistics and Actuarial Science Modified Likelihood Ratio Test for Finite Mixture Models October 24 Carey E. Priebe Johns Hopkins University/Department of Mathematical Sciences Segmenting Magnetic Resonance Images via Hierarchical Mixture Modelling October 31 Davar Khoshnevisan; www.math.utah.edu/~davar University of Utah/Department of Mathematics Convex Rearrangements and Correlated Gaussian Data November 7 Tom Kurtz University of Wisconsin, Madison/Departments of Mathematics and Statistics Spatial Birth and Death Processes and Estimation for Spatial Point Processes November 14 Wei Biao Wu University of Chicago/Department of Statistics Kernel Estimation for Stationary Processes November 21 Douglas Blount Arizona State University/Department of Mathematics & Statistics A simplified approach to some results on weak convergence in metric spaces December 5 Yehuda Vardi Rutgers University/Department of Statistics Deep Talk and Network Exploration Winter 2003 January 17 Michael Jordan (California, Berkeley) Algorithms for Statistical Inference: Probabilistic Graphical Models and Kernel Machines January 24 William S. Cleveland (Bell Laboratories) Fractional Sum-Difference Models for Open-Loop Generation of Internet Packet Traffic January 31 Changbao Wu (Waterloo) Empirical Likelihood Methods in Survey Sampling February 3 Zhiqiang Tan (Chicago) Statistical Models for Monte Carlo Integration February 7 Yun Ju Sung (Mennesota) Misspecification Error in Missing Data Models February 10 Jiashun Jin (Stanford) Detecting and Estimating Sparse Mixtures February 14 Haipeng Shen (Pennsylvania) Statistical Analysis of a Telephone Call Center: A Queueing Science Perspective February 17 Ji Zhu (Stanford) Support Vector Machine, Kernel Logistic Regression and Import Vector Machine March 7 Beth Andrews (Colorado) Maximum Likelihood and Rank Estimation for All-Pass Time Series Models March 14 David A. van Dyk (Harvard) Efficient Computation in Multi-Level Models March 17 Yoav Freund (Banter Inc.) How to be a Bayesian Without Believing March 21 Chuanhai Liu (Bell Laboratories-Lucent Technologies) Alternating Subspace-Spanning Resampling to Accelerate Markov Chain Monte Carlo Simulation March 24 Soumen Lahiri (Iowa) On Optimal Spatial Subsample Size for Variance Estimation March 28 Gus Evrard (Michigan) Statistical Opportunities at the Border of Cosmology and Astrophysics April 3   Joan Hu (Memphis) Nonparametric Estimation from Incomplete Stochastic Process Data April 4 Jun Shao (Wisconsin) Assessment of Individual and Population Bioequivalence: Confidence Intervals for Linear Combinations of Variance Components April 22 Professor Victor Solo (New South Wales/Sydney Australia; Harvard) Functional Data Analysis for the Growth Curve Model with Application to Functional MRI May 21 Aidan Sudbury (Melbourne) Annihilating Processes Fall 2002 September 13 Andreas Buja (Pennsylvania) Degrees of Boosting -- A Study of Classification Loss Functions September 20 Wei Liem Loh (Michigan) On Numerical Integration and Scrambled Nets September 27 David Scott (Rice) Partial Mixture Estimation For Handling Outliers in Data and Regression October 4 Jack Kalbfleisch (Michigan) Current Status Observation of Competing Risks October 11 Val Johnson (Michigan) College Grading: Effects of Students Grades on Student Course Selection Decisions and Student Evaluations of Teaching October 18 Fred Feinberg (Michigan) A Heterogeneous Model for Sparse, Ranked Data when Choice Sets are Unknown October 25 David Higdon (Los Alamos National Lab) Simulation Based Inference in Computationally Intensive Inverse Problems November 1 Peter McCullagh (Chicago) How Oats and Beans and Barley Grow November 8 Jon A. Wellner (Washington) Goodness of Fit via Pointwise Likelihood Ratios: Some Results of Berk and Jones Revisited November 15 Donald Geman (Johns Hopkins) Sequential Testing Designs for Object Identification November 21 Sandrine Dudoit (California, Berkeley) Statistical Methods and Software for the Analysis of DNA Microarray Experiments November 22 Anirban DasGupta (Purdue) New Estimates of Binomial n December 5 Jun S. Liu (Harvard) Motif Regressor: Towards the Integration of Sequence Motif Discovery and Microarray Analysis Winter 2002 January 11 Michael Woodroofe (Michigan) Inference with a Restricted Parameter Space January 18 Bin Nan (Michigan) Efficiency of Two-Phase Sampling Designs with Survival Data January 22 David Mease (Michigan) A Penalized Maximum Likelihood Approach for the Ranking of College Football Teams January 25 Mick P. Couper (Michigan) Web Survey Research: Challenges and Opportunities February 1 Edward Ionides (Chicago) Cell Motion and Non-Linear State Space Models February 8 Liza Levina (California) Texture from a Statistical Perspective February 14 Feng Liang (Yale) Exact Minimax Density Estimation February 21 Martin Lindquist (Rutgers) Mathematical and Statistical Problems Relating to Functional MRI March 5 Alexandre Carvalho (Northwestern) Mixtures-of-Experts of Generalized Linear Time Series March 7 Chang Xuan Mao (California) The Species Problem with Applications in Digital Gene Expression March 11 Athanasios Kottas (Duke) Dirichlet Process Mixture Modeling for Nonparametric Bayesian Regression, Survival Analysis and Spatial Data Analysis March 15 Derek Bingham (Michigan) Identifying Experiment Designs for Model Selection March 22 Yi Lin (Wisconsin) Support Vector Machines and Margin-Based Loss Functions in Classification March 29 Roshan Joseph Vengazhiyil (Michigan) Operating Window Experiments: A Novel Approach to Quality and Reliability Improvement April 5 Chuanhai Liu (Bell Labs, Lucent Technologies) An Overview of Parameter Expansion and Covariance Adjustment in Accelerating EM and Data Augmentation April 12 Don Rubin (Harvard) Causal Inference Based on Potential Outcomes, with Application to Anthrax Vaccine Trials Fall 2001 September 21 Judea Pearl (UCLA) Assessing Causal Quantities from Experimental and Nonexperimental Data September 28 Rob Easterling (Sandia National Labs/Michigan) Measuring the Predictive Capability of Computational Models: Technical and Management Issues October 5 William Notz (Ohio State University) Design of Computer Experiments to Optimize the Mean of a Response October 11 Keith Worsley (McGill University) Testing for a Conjunction October 12 Anil Jain (Michigan State University) Fingerprint Matching October 18 Mike West (Duke) Statistical Modeling and Exploration of Gene Expression Data October 25 Mark Segal  (University of California, San Francisco) Regression with Expression: Association Approaches for Microarray Data October 26 Susan Murphy (University of Michigan) Estimating Optimal Rules for Dy nami c Treatment Regimes (Sequential Decisions) November 2 Hugh Chipman (University of Waterloo) Regression and Classification with Tree Models: Forests, Hybrids, and Other New Methods November 6 Rob Tibshirani (Stanford University) Statistical Methods for the Analysis of DNA Microarray Data November 9 Gopinath Kallianpur (University of North Carolina at Chapel Hill) Stochastic Filtering: A Part of Stochastic Nonlinear Analysis November 16 Mary C. Meyer (University of Michigan) Some Problems in Shape-Restricted Inference November 30 George Michailidis (University of Michigan) Queueing Networks with Shared Resources December 7 Julian Faraway (University of Michigan) Statistical Modeling of Human Motion Winter 2001 January 12 Naihua Duan (UCLA) Randomized Encouragement Trial (RET): A Design Paradigm for Public Health Evaluation January 19 Anna Amirdjanova (UNC) On a 2-dimensional discontinuous stochastic vorticity model January 26 Biao Zhang (Univ Toledo) Fitting and Testing Proportional Odds Models Based on Case-control Data February 2 Xiaowen Zhou (Univ British Columbia) Continuous sites stepping-stone models  February 9 Moulinath Banerjee (Univ Washington) Likelihood ratio inference for monotone functions in a class of non-regular problems  February 12 Dan Spitzner (UNC-Chapel Hill) Selecting an Estimator to Meet Multiple Goals in Hierarchical GLMs  February 16 Raquel Prado (Universidad Simon Bolivar) Bayesian Time-Varying Autoregressions: Models and Applications  February 20 Rebecka Jornsten (UC-Berkeley) Compression and Analysis of Microarray Images February 21 Brian Caffo (Univ Florida) A Markov Chain Monte Carlo Algorithm for Approximating Exact Conditional Probabilities March 9 Ben Hansen (UC-Berkeley) Two Sensitivity Analyses for Regression Inference in Observational Studies March 16 Wei Biao Wu (Univ of Michigan) Change-Point Problem March 30 Demosthenis Teneketzis (Univ of Michigan) On Information Structures and Nonsequential Stochastic Systems April 2 Phil Dawid Probabilistic Expert Systems for Forensic Inference from Genetic Markers April 5 Adrian Raftery (Univ of Washington) Statistical Inference for Deterministic Simulation Models: The Bayesian Melding Approach April 6 Malay Ghosh (Univ of Florida) Likelihood and Objective Bayesian Inference for Ratios of Regression Coefficients in Linear Models Fall 2000 September 7 Hsiu-Khuern Tang (Stanford University) Using Variance Components to Map Quantitative Trait Loci September 15 C. F. Jeff Wu (University of Michigan) Tukey's Contributions to Jackknife and Experimental Design: A Historical Perspective September 22 William S. Cleveland (Bell Labs) Building Models for Data with Random Location and Scale Effects September 29 Yanhong Wu (University of Michigan) Inference for the Change Point and Change Magnitude Detected by a CUSUM Procedure October 6 Probal Chaudhuri (Indian Statistical Institute) Coelacanth vs. Lung-Fish: A Fishy Story October 13 Jennifer Hill (Columbia University) School Choice in NY City: An Example of the Bridge Between Randomized Experiments and Observational Studies October 19 Jerry Lawless (University of Waterloo) Analysis of Studies with Multiphase Sampling Designs October 27 Guenther Walther (Stanford University) Bikernel Oscillation Analysis for Mixtures November 3 Aleka Kapatou (University of Michigan) Nonparametric MEWMA Control Charts Using Small Samples November 9 Jack Kalbfleisch (University of Waterloo) Bootstrapping the Estimating Function: Applications in Nonlinear Regression and Autoregression Models November 16 Matt Wand (Harvard University) Geoadditive Models December 1 Walt Willinger (AT&T Labs-Research) Internet Traffic and Performance Modeling: So Many Models, So Little Insight December 8 Richard Gonzalez (Univ of Michigan) Random Effects Multidimensional Scaling Models January 12 Naihua Duan (UCLA) Randomized Encouragement Trial (RET): A Design Paradigm for Public Health Evaluation January 19 Anna Amirdjanova (University of North Carolina/Chapel Hill) On a 2-Dimensional Discontinuous Stochastic Vorticity Model January 26 Biao Zhang (University of Toledo/University of Michigan) Fitting and Testing Proportional Odds Models Based on Case-Control Data February 2 Xiaowen Zhou (University of British Columbia) Continuous Sites Stepping-Stone Models February 9 Moulinath Banerjee (University of Washington) Likelihood Ratio Inference for Monotone Functions in a Class of Non-Regular Problems February 12 Dan Spitzner (University of North Carolina/Chapel Hill) Selecting an Estimator to Meet Multiple Goals in Hierarchical GLMs February 16 Raquel Prado (Universidad Simon Bolivar) Bayesian Time-Varying Autoregressions: Models and Applications February 20 Rebecka Jornsten (University of California - Berkeley) Compression and Analysis of Microarray Images February 22 Brian Caffo (University of Florida) A Markov Chain Monte Carlo Algorithm for Approximating Exact Conditional Probabilities March 9 Ben Hansen (University of California - Berkeley) Two Sensitivity Analyses for Regression Inference in Observational Studies March 16 Wei Biao Wu (University of Michigan) Change-Point Problem March 30 Demosthenis Teneketzis (University of Michigan) On Information Structures and Nonsequential Stochastic Systems April 2 Phil Dawid (University College, London) Probabilistic Expert Systems for Forensic Inference from Genetic Markers April 5 Adrian Raftery (University of Washington) Statistical Inference for Deterministic Simulation Models: The Bayesian Melding Approach April 6 Malay Ghosh (University of Florida) Likelihood and Objective Bayesian Inference for Ratios of Regression Coefficients in Linear Models Winter 2000 January 14  Edsel Pena (University of Michigan) “Intensity-Based Goodness-of-Fit Tests and Generalized Residuals in Failure-Time Models” January 21  Jeff Wu (University of Michigan) “A System of Experimental Design” January 27 Peter Hoff (University of Wisconsin) “Constrained Nonparametric Estimation via Mixtures, with an Application in Cancer Genetics” January 28Jinyong Hahn (University of Michigan) “When to Control. For Covariates? Panel-Asymptotics for Estimates of Treatment Effects” February 4Andrius Jankunas (University of Michigan) “Optimal Contingent Claims” February 11Xiangrong Yin (University of Minnesota) “Dimension Reduction Using Inverse Third Moments and Central k-th Moment Subspaces” February 18Beatrix Jones (University of Washington) “Maximum Likelihood Estimation for Parametric Dispersal Models” February 21Ernst-Jan C. Wit (University of Chicago) “Category Theory and Statistics Towards a General Definition of a Sensible Statistical Model” March 7Juan Lin (MIT) “Lattice Generalizations of Graphical Models” March 9Thomas Nichols (Carnegie Mellon University) “Spatiotemporal Modeling of Positron Emission Tomography” March 10Daniel Nagin (Carnegie Mellon University) “Linking Trajectories of Childhood and Adolescent Physical Aggression: The Search for Late Onset Violence” March 13Wen-Chi Tsai (Purdue University) “Inference About an Unknown Compact Domain in ” March 17Doug Nychka (National Center for Atmospheric Research) “Challenges in Understanding the Atmosphere” March 24Richard Tweedie (University of Minnesota) “Perfect Sampling and Harris Chains” March 31Sydney Resnick (Cornell University) “Infinite Source Poisson Models with Heavy Tailed Transmission Times; Probabilistic Modeling and Data Networks” April 7Valerie Ventura (Carnegie Mellon University) “Bootstrap Diagnostics and Recycling” April 14Pat Larkey (Carnegie Mellon University) “Have Data, Will Model” May 3K.-L. Tsui (Georgia Institute of Technology)  “New SPC Monitoring Methods: The ARMA and PID Chart” Fall 1999 October 1James M. Joyce (University of Michigan) “Causal and counterfactual Reasoning in Bayesian Decision Theory” October 8Anil P. Gore (University of Michigan) “Statistics for Information Intensive Agriculture” October 15Yali Amit (University of Chicago) “Efficient Object Detection in Visual Scenes” October 20Eric Schoen (Netherlands Organization for Scientific Research) “Detecting Location and Dispersion Effects in Two-Level Designs” October 22Guenther Walther (Stanford University) “Multiscale Analysis of a Semiparametric Model via Penalized Maximum Likelihood” October 29Julian Faraway (University of Michigan) “Modelling Human Motion Using Functional Regression Analysis” November 1Yuhong Yang (Iowa State University) “Model Selection, Model Averaging and Adaptive Estimation” November 5Angela Dean (Ohio State University) “Two-Stage Group Screening in the Presence of Noise Factors” November 12Bruce Ankenman (Northwestern University) “Optimal Assembled Designs” November 19Kjell Doksum (University of California, Berkeley) “Partial Regression Curves” December 3Stephen Schilling (University of Michigan) “Estimating Ratios of Normalizing Constant in MCMC Using Bridge Sampling” Winter 1999 January 15Professor J. O. Ramsay (McGill University) “Some Uses of Differential Equations in Statistics” January 22Professor Xihong Lin (University of Michigan) “Inference in Generalized Additive Mixed Models” January 29Mr. Kerby Shedden (UCLA) “Decomposing Time Series as Sums from Independent Sources” February 5Dr. Huaiyu Zhu (University of Idaho) “Bayesian Information Geometrical Statistical Inference” February 12Dr. Derek Bingham (Simon Fraser University) “Design Issues in Fractional Factorial Split-Plot Experiments” February 18Dr. Jouni Kuha (Nuffield College, Oxford) - [Joint with Biostat.] “Joint Modelling of Measurement Error and Missing Data” February 19Mr. Dan Nicolae (University of Chicago) “Allele Sharing Models for Gene Mapping: A Likelihood Approach” February 22Julie Horrocks (University of Waterloo) - [Joint with CSCAR] “Double Barrier Models with Applications to Length of Stay in Hospital” February 24Dr. Raffaella Settimi (University of Warwick) “Geometry and Identifiability in Directed Trees with Hidden Variables” March 12Mr. Jin-Ting Zhang (North Carolina at Chapel Hill) “Smoothed Functional Data Analysis” March 19Mr. Andrius Jankunas (Wayne State University) “Estimation of Parameters of Linear Homogeneous Stochastic Differential and Difference Equations” March 25Professor Ker-Chau Li (UCLA) “High Dimensional Data Analysis via the SIR/PHD Approach” March 26Professor Ker-Chau Li (UCLA) “Tree-Structured Regression via Principal Hessian Directions” April 2Professor Valen E. Johnson (Duke University) “Posterior Distributions on Normalizing Constants” April 9Professor Andrew Gelman (Columbia University) “Topics in Model-Based Analysis of Sample Surveys” April 16Professor Chuanshu Ji (North Carolina at Chapel Hill) “A Stochastic Geometry Cartoon in Materials Science” April 23Professor Randy Sitter (Simon Fraser University) “A Model-Calibration Approach to Using Complete Auxiliary Information from Survey Data” Fall 1998 September 18Professor George Michailidis (University of Michigan) “Queueing Networks in Random Environments” September 25Professor Pierre Goovaerts (University of Michigan) “Quantifying Environmental Risks Through Stochastic Simulation” October 1Professor D. Y. Lin (University of Washington) - [Joint with Biostat.] “Design and Analysis of Two-Phase Failure Time Studies” October 9Professor Sarat C. Dass (Duke University) “Unified Bayesian and Conditional Frequentist Testing Procedures” October 16Professor Joe Schafer (The Pennsylvania State University) - [Joint with Biostatistics] “Computational Strategies for Linear Mixed Models with Unbalanced or Incomplete Data” October 23Daryl Pregibon (AT&T Labs) “Data Mining for Dummies” October 30Professor Andrew Barron (Yale University) “Information Theory in Probability and Statistics” November 6Professor Stephanie R. Land (Carnegie Mellon University) “Methods for the Analysis of Functional Data in Medicine, or How Does Sleep Change with Age?” November 13Professor Emmanuel Yashchin (IBM Research Division), Yorktown Heights, NY “Monitoring of High Intensity Data Streams” November 20Dr. S. Stanley Young (Glaxo Wellcome Inc.) “The Discovery of Multiple, Interacting Genes” December 1Professor P. Jeganathan (University of Michigan) “On Asymptotic Inference in Some Linear Time Series Models with Unit Roots” December 2Rhonda Righter (Santa Clara University) “Multi-Class Production Systems with Setup Times” December 4Professor James M. Robins (Harvard University) “Sensitivity Analysis for Unmeasured Confounding in Causal Inference Models” December 9Shane Henderson (University of Michigan/University of Auckland) “Determining Staffing Levels for Call Centres” December 11Professor D. R. Bellhouse (University of Western Ontario) “Computer Algebra for Sample Surveys”