RAND Statistics Seminar Series

The RAND Statistics Group holds periodic seminars that are open to all RAND employees and members of the public. The chairs of the seminar series are Brian Vegetabile and Joshua Snoke. Members of the public who would like to attend should contact Emily Payne in advance.

If you would like to meet with any of the speakers, or request a paper, please contact Emily Payne.

Upcoming Seminars | Past Seminars

Upcoming Seminars

• Lessons Learned From the First Year in AI For Good

  Presented by Juan M. Lavista Ferres

  December 2, 2020
  Time: 12 p.m. – 1:00 p.m. PT / 3 p.m. – 4 p.m. ET

  Abstract: The Microsoft AI for Good Research Lab is a philanthropic team of data scientists and researchers dedicated to using AI, Machine Learning and statistical modeling to tackle some of humanity’s greatest challenges. We partner with leading nonprofits, research institutions, NGOs, and governments to accelerate work across the AI for Good program portfolio—Earth, Accessibility, Humanitarian Action, Cultural Heritage, Health—as well as other pressing issues such as affordable housing, broadband access, digital skills, justice reform, legal compliance, etc. This talk I will describing the type of work, and lessons learned and will provide a few details about specific projects.

  Speaker bio: Juan M. Lavista Ferres is currently the General Manager and Lab Director of the Microsoft AI For Good Research Lab, where he works with a team of data scientists and researchers in AI, Machine Learning and statistical modeling, working across Microsoft AI For Good efforts. These efforts includes projects in AI For Earth, AI for Humanitarian Action, AI For Accessibility and AI For Health.

• Nonparametric causal effects based on incremental propensity score interventions

  Presented by Edward Kennedy, Carnegie Mellon University

  POSTPONED
  Time: 10:30 a.m. – 12:00 p.m. PT
  Host location: Pittsburgh

• Statistics and the Fair Administration of Justice

  Presented by Hal Stern, University of California, Irvine

  POSTPONED
  Time: 12:00 – 1:30 p.m. PT
  Host location: Santa Monica
  Other locations: Pittsburgh

Past Seminars

• Shared Parameter Mixed-Effects Location Scale Models for Intensive Longitudinal Data

  Presented by Don Hedeker, University of Chicago

  Wednesday, October 28, 2020
  Time: 12:00 p.m. – 1:30 p.m. PT
  Host location: Remote

• Modern Benchmarking and the Search for Unusual Hospitals, Communities, and Cops

  Presented by Greg Ridgeway, University of Pennsylvania

  Date: September 30, 2020
  Time: 12:00 – 1:30 p.m. PT
  Location: Remote

• Prediction, Estimation, and Attribution

  Presented by Bradley Efron, Stanford University

  Thursday, November 6, 2019
  Time: 12:00 p.m. – 1:30 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• Alternatives to p-values

  Presented by Daniel Jeske, University of California Riverside

  Thursday, September 25, 2019
  Time: 12:00 p.m. – 1:30 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• Deep Learning: A Synthesis from Probabilistic Foundations

  Presented by Eric Nalisnick, University of Cambridge and Deep Mind

  Thursday, June 18, 2019
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• Making Sense of Sensitivity: Extending Omitted Variable Bias

  Presented by Carlos Cinelli, UCLA
  Co-Sponsored with Center for Causal Inference (CCI)

  Thursday, May 23, 2019
  Time: 12:00 p.m. – 1:30 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• Causal Inference in the Presence of Interference

  Presented by Michael Hudgens, University of North Carolina
  Co-Sponsored with Center for Causal Inference (CCI)

  Thursday, November 15, 2018
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• Statistical Methods Research done as Science rather than Mathematics

  Presented by Jim Hodges, University of Minnesota, Division of Biostatistics, School of Public Health

  Thursday, May 18, 2017
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• Assessing Time-Varying Causal Effect Moderation in Mobile Health

  Presented by Daniel Almirall, University of Michigan
  Co-Sponsored with Center for Causal Inference (CCI)

  Thursday, January 26, 2017
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• Multivariate Multilevel Models for Health Care Quality Data

  Presented by Alan Zaslavsky, Harvard Medical School, Professor of Health Care Policy (statistics)

  Thursday, November 11, 2016
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, DC

• Personalized Biostatistics, Small Data, and N-of-1 Trials

  Presented by Naihua Duan, Columbia University, Division of Biostatistics, Department of Psychiatry

  Thursday, October 10, 2016
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, DC

• A synthetic estimator to improve estimation of causal effects in clinical trials with noncompliance

  Presented by Joseph (Joey) Antonelli, Harvard Biostatistics, Postdoctoral Fellow
  Co-Sponsored by Center for Causal Inference (CCI)

  Thursday, August 25, 2016
  Time: 12:00 p.m. – 1:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• Endogenous Stratification in Randomized Experiment

  Presented by Alberto Abadie, MIT

  Thursday, July 18, 2016
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, D.C.

• An Experiment of Experimentalism: Does Peer Review Work?

  Presented by Daniel Ho, Stanford University

  Thursday, June 30, 2016
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, DC

• Principal stratification in the Twilight Zone: Weakly separated components in finite mixture models

  Presented by Avi Feller, University of California, Berkeley
  

  Thursday, May 19, 2016
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, DC

• Collaborative Double Robustness and The Connection to Data-Adaptive Nuisance Model Selection in Causal Inference

  Presented by Mireille Schnitzer, Assistant Professor of Biostatistics, University of Montreal
  

  Thursday, March 10, 2016
  Time: 10:30 a.m. – 12:00 p.m. Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, DC

• Estimating Causal Effects of Continuous Exposures

  Presented by Donna Coffman, Research Associate Professor and Principal Investigator, The Methodology Center, Penn State University
  

  Tuesday, October 13, 2015
  Time: 11:00 AM – 12:00 PM Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh, Washington, DC, and Boston

• Explained Variation in Correlated Survival Data

  Presented by Ronghui (Lily) Xu, UCSD/ Biostatistics and Bioinformatics
  

  Thursday, July 23, 2015
  Time: 10:30 AM – 12:00 PM Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Proof in Medicine: The Contributions of Jerome Cornfield

  Presented by Joel B. Greenhouse, Ph.D., Carnegie Mellon University
  

  Thursday, June 18, 2015
  Time: 1:30 PM Eastern
  Host Location: Pittsburgh
  Other Locations: Santa Monica & Washington, DC

• Penalized and Constrained Regression

  Presented by Gareth James, University of Southern California
  

  Thursday, May 21, 2015
  Time: 10:30 AM – 12:00 PM Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Design and Estimation for Respondent Driven Sampling

  Presented by Karl Rohe, Assistant Professor, University of Wisconsin-Madison, Department of Statistics
  

  Thursday, April 2, 2015
  Time: 10:30 AM – 12:00 PM Pacific
  Host Location: Santa Monica, room 1226
  Other Locations: Pittsburgh (room 6202) & Washington, DC (room 4302)

• Essential Ideas of Causal Inference in Experiments and in Observational Studies

  Presented by Don Rubin, Harvard University, John L. Loeb Professor of Statistics
  

  Tuesday, March 24th, 2015
  Time: 12:00 – 1:00 PM Pacific
  Host Location: Santa Monica, room 1226
  Other Locations: Pittsburgh (room 6207a) & Washington, DC (room 4128)

• Robust Mixed-effects Model for Clustered Failure Time Data: Application to Huntington's Disease Event Measures

  Presented by Tanya Garcia, Texas A&M University
  Thursday, November 20th, 2014
  Time: 10:00 – 11:30 AM Pacific
  Host Location: Santa Monica, room 5312
  Other Locations: Pittsburgh (room 6202) & Washington, DC (room 6201)

• Propensity Score Methods in the Context of Covariate Measurement Error

  Presented by Elizabeth Stuart, Johns Hopkins
  Tuesday, October 14th, 2014
  Time: 2:00 PM – 3:30 PM Eastern
  Host Location: Washington, DC
  Other Locations: Santa Monica & Pittsburgh, PA

• A Gaussian Process Model for Estimating Within-Subject Volatility in Indices of Protein-Energy Malnutrition Among End-Stage Renal Disease Patients

  Presented by Daniel L. Gillen, University of California, Irvine
  

  Thursday, September 18th, 2014
  Time: 10:30 AM – 12:00 PM Pacific
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Adaptive Piecewise Polynomial Estimation via Trend Filtering

  Presented by Ryan Tibshirani, Carnegie Mellon University
  

  Wednesday, August 20th, 2014
  Time: 12:00 – 1:30 PM Eastern
  Host Location: Pittsburgh
  Other Locations: Santa Monica & Washington, DC

• Non-Local Priors for High-Dimensional Estimation

  Presented by Donatello Telesca, University of California Los Angeles
  

  Thursday, July 24th, 2014
  Time: 10:30 AM – 12:00 Noon Pacific / 1:30 – 3:00 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Cardiovascular Event Risk Dynamics Over Time in Older Patients on Dialysis: A Generalized Multiple-Index Varying Coefficient Model Approach

  Presented by Damla Senturk, University of California Los Angeles
  

  Wednesday, May 21st, 2014
  Time: 12:00 – 1:30 PM Pacific / 3:00 – 4:30 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Missing Data as a Causal Inference problem

  Presented by Judea Pearl, University of California Los Angeles
  

  Thursday, March 20th, 2014
  Time: 10:00 – 11:00 AM Pacific / 1:00 PM – 2:00 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Estimating the Comparative Effectiveness of Screening Tests

  Presented by Carolyn Rutter, The Group Health Research Institute
  

  Wednesday, November 13th, 2013
  Time: 12:00 PM – 1:30 PM Pacific / 3:00 PM – 4:30 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Exits on the Road to Serfdom

  Presented by Dr. James Thompson, Noah Harding Professor of Statistics, Rice University
  

  Thursday, September 26th, 2013
  Time: 10:30 AM – 12:00 PM Pacific / 1:30 PM – 3:00 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Data-adaptive Approaches to Causal Effect Estimation

  Presented by Dr. Debashis Ghosh, Professor of Statistics at Penn State University
  

  Thursday, February 14th, 2013
  Time: 10:30 AM – 12:00 PM Pacific / 1:30 PM – 3:00 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Systematic Approaches to Personalized Treatment Selection

  Dr. Tianxi Cai - Professor of Biostatistics at School of Public Health, Harvard University
  

  Monday, January 14th, 2013
  Time: 10:30 AM – 12:00 PM Pacific / 1:30 PM – 3:00 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Modeling Networks When Data Is Missing or Sampled

  Mark S. Handcock - University of California, Los Angeles, Department of Statistics
  

  Thursday, October 11th, 2012
  Time: 10:30 AM – 12:00 PM Pacific / 1:30 PM – 3:00 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?

  James Marshall Flegal - University of California, Riverside, Department of Statistics
  

  Thursday, September 13th, 2012
  Time: 10:30 AM – 12:00 PM Pacific / 1:30 PM – 3:00 PM Eastern
  Host Location: Santa Monica
  Other Locations: Pittsburgh & Washington, DC

• Effect of multivariate outlier detection & imputation on poverty & inequality indicators

  Beat Hulliger—University of Northwestern Switzerland, School of Business
  Wednesday, July 25th, 2012, 12:00 - 1:00 PM PST
  Host Location: Santa Monica, CA
  Other Locations: Pittsburgh, PA, and Washington, D.C.

• Sparse Nonparametric Bayesian Learning from Big Data

  Dr. David Dunson—Dept. of Statistical Science, Duke University
  Thursday, May 3rd, 2012
  Host Location: Santa Monica, CA
  Other Locations: Pittsburgh, PA, and Washington, D.C.

• Examining moderated effects of additional adolescent substance use treatment: Structural nested mean model estimation using inverse-weighted regression-with-residuals

  Dr. Daniel Almirall— Survey Research Center in the Institute for Social Research, University of Michigan
  Thursday, March 22nd, 2012
  Pittsburgh, PA

• Tweedie's Formula and Selection Bias

  Dr. Bradley Efron—Stanford University
  Thursday, March 1st, 2012
  Santa Monica, CA

• Effective Semiparametric Modeling for Ultra-Sparse, Unsynchronized and Imprecise Longitudinal Data

  Dr. Damla Senturk—UCLA
  Wednesday, December 7th, 2011
  Santa Monica, CA

• Sparse Functional Data with an Irregular Periodic Component: An Application to Psychiatric Data

  Dr. Catherine A. Sugar—UCLA
  Thursday, November 10th, 2011
  Santa Monica, CA

• Multiplicative Algorithms: Why Do They Converge and How to Make Them Faster

  Dr. Yaming Yu—UC Irvine
  Thursday, October 13th, 2011
  Santa Monica, CA

• Modern Experimental Design Methods and How to Use Them

  Dr. Douglas C. Montgomery—Arizona State University
  Wednesday, April 27th, 2011
  Santa Monica, CA

• What's New in Causal Inference: From Propensity Scores and Mediation to External Validity and Surrogate Endpoints

  Judea Pearl—University of California, Los Angeles
  Thursday, March 24th, 2011
  Santa Monica, CA

• Context Modeling for Detecting Cis-Regulatory Signals

  Qing Zhou—University of California, Los Angeles
  Wednesday, January 19th, 2011
  Santa Monica, CA

• Valued Ties Tell Fewer Lies: Why Not To Dichotomize Network Edges With Thresholds

  Andrew C. Thomas, Visiting Assistant Professor, Carnegie Mellon University
  Thursday, December 16, 2010
  Pittsburgh, PA

• Identification of Social Interactions

  Steven N. Durlauf, Ph.D., Professor of Economics, University of Wisconsin
  Tuesday, November 2, 2010
  Pittsburgh, PA

• The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators

  Presented by Christopher Paciorek, Ph.D., University of California — Berkeley
  Thursday, June 17, 2010
  Santa Monica, CA

• A Coverage Approach to Evaluating Mean Square Error

  Alan H. Dorfman, Ph.D., Bureau of Labor & Statistics, Washington., D.C.
  Thursday, May 13, 2010
  Pittsburgh, PA

• Measuring HIV Incidence: Approaches and Challenges

  Presented by Ron Brookmeyer, University of California, Los Angeles
  Wednesday, April 21, 2010
  Santa Monica, CA

• High Dimensional Classification Using Feature Annealed Independence Rules

  Presented by Yingying Fan, Ph.D, University of Southern California
  Thursday, January 14, 2010
  Santa Monica, CA

• Propensity Score Matching to Recover Latent Experiments

  Presented by Ben B. Hansen, Ph.D., Assistant Professor, University of Michigan
  Wednesday, December 9th, 2009
  Pittsburgh, PA

• Exploring the Housing Crisis with ggplot2 and plyr in R

  Presented by Hadley Wickham, Ph.D, Assistant Professor, Rice University
  Friday, November 6, 2009
  Santa Monica, CA

• Lessons from the Netflix Prize

  Presented by Dr. Robert Bell, AT&T Labs-Research, Florham Park, NJ
  Thursday, October 1, 2009
  Santa Monica, CA

• Using the Whole Cohort in Two-Phase Study Designs

  Presented by Professor Thomas Lumley, University of Washington
  Thursday, June 11, 2009
  Santa Monica, CA

• Data Large-Scale Prediction Problems

  Presented by Professor Bradley Efron, Stanford University
  Thursday, May 21, 2009
  Santa Monica, CA

• Everything is Dangerous: A Controversy

  Presented by Stanley Young, Ph.D., Assistant Director for Bioinformatics, NISS Triangle Park, NC
  Wednesday, April 29th, 2009
  Pittsburgh, PA

• Information, Knowledge, and Truth: Replacing Secrecy, Ignorance, and Myth in the Wake of Atrocity

  Presented by Patrick Ball, Ph.D., Chief Scientist and Director, Human Rights Programs
  Tuesday, March 31, 2009
  Pittsburgh, PA

• Proxy Pattern-Mixture Analysis for Survey Nonresponse

  Presented by Roderick J. Little, Ph.D., University of Michigan
  Wednesday, January 14, 2009
  Santa Monica, CA

• Accounting for Complex Sample Designs via Mixture Models

  Presented by Michael Elliott, Ph.D., University of Michigan
  Thursday, December 18, 2008
  Santa Monica, CA

• Visualizing Hierarchical Cluster Structure via Density-Based Linkage Methods and Component Trees

  Presented by Rebecca Nugent, Ph.D., Carnegie Mellon University
  Friday, November 21, 2008
  Pittsburgh, PA

• Data Assimilation for Epidemiologic Air Exposure Assessment

  Presented by Ana G. Rappold, Ph.D., USEPA
  Tuesday, October 14, 2008
  Santa Monica, CA

• Statistics and Public Policy

  Presented by David A. Marker, PhD, WESTAT, Rockville, MD
  Thursday, June 19, 2008
  Pittsburgh, PA

• Analysis of Gene Expression Leukemia Data using Split-Merge Markov Chain Monte Carlo

  Presented by Sonia Jain, Ph.D., University of California – San Diego
  Thursday, May 15, 2008
  Santa Monica, CA

• Causal Inference for Randomized Trials of Two Active Treatments Subject to Non-compliance

  Presented by Jason Roy, PhD, Geisinger Center for Health Research
  Thursday, April 17, 2008
  Pittsburgh, PA

• Spectral Analysis of Faint Astronomical Objects: Bayesian Modeling, Computation, and Inference

  Presented by David van Dyk, University of California, Irvine
  Thursday, March 20, 2008
  Santa Monica, CA

• A Stimulus-Locked VAR Model for fMRI Event-Related Connectivity Analyses

  Presented by Wesley Thompson, University of Pittsburgh
  Thursday, February 21, 2008
  Pittsburgh, PA

• Robust Standard Errors and Experimental Design

  Presented by Larry Hedges, Northwestern University
  Thursday, December 6, 2007
  Pittsburgh, PA

• Simultaneous Inference: When Should Hypothesis Testing Problems Be Combined?

  Presented by Bradley Efron, Stanford University
  Thursday, November 29, 2007
  Santa Monica, CA

• Secure Logistic Regression with Distributed Databases

  Presented by Aleksandra Slavkovic, Pennsylvania State University
  Thursday, October 25, 2007
  Pittsburgh, PA

• Enabling Knowledge Networks in 21st Century Organizational Forms: From Disasters to WoW

  Presented by Dr. Noshir Contractor, University of Illinois Urbana-Champaign
  Thursday, July 26, 2007
  RAND Corporation, Santa Monica, CA

• Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates

  Presented by Dr. Marie Davidian, North Carolina State University
  Thursday, May 17, 2007
  RAND Corporation, Pittsburgh, PA

• A Multivariate Nongaussian Bayesian Spatial Modeling Framework for Hurricane Surface Wind Fields

  Presented by Montserrat Fuentes, North Carolina State University, Department of Statistics
  Thursday, April 12, 2007
  RAND Corporation, Santa Monica, CA

• "Proof" in Medicine: The Role of Research Synthesis

  Presented by Professor Joel B. Greenhouse, Carnegie Mellon University, Department of Statistics
  Thursday, March 15, 2007
  RAND Corporation, Pittsburgh, PA

• Visualization Databases for Loseless Analysis of Complex Data Sets

  Presented by William Cleveland, Purdue
  Thursday, February 15, 2007
  RAND Corporation, Santa Monica, CA

• Clustering Functional Data: Methods and Applications

  Presented by Catherine Sugar, USC
  Thursday, December 14, 2006
  RAND Corporation, Santa Monica, CA

• Treed Gaussian Processes and Limiting Linear Models, with applications to Computer Experiments

  Presented by Herbie Lee, UCSC
  Thursday, October 5, 2006
  RAND Corporation, Santa Monica, CA

• Doing Thousands of Hypothesis Tests at the Same Time

  Presented by Brad Efron, Stanford
  Thursday, September 21, 2006
  RAND Corporation, Santa Monica, CA

• Strategies for Model-Based Imputation in High-Dimensional Incomplete Data Sets

  Presented by Thomas R. Belin, UCLA Dept. of Biostatistics
  Thursday, May 11, 2006
  RAND Corporation, Santa Monica, CA

• Statistical Analysis of Social Networks

  Presented by Stanley Wasserman, University of Illinois at Urbana-Champaign
  Thursday, March 9, 2006
  RAND Corporation, Santa Monica, CA

• Extensions of Respondent-Driven Sampling: Analyzing Continuous Variables and Multivariate Analysis Using Dual-Component Sampling Weights

  Presented by Douglas Heckathorn, Dept. of Sociology, Cornell University
  Thursday, December 8, 2005
  RAND Corporation, Santa Monica, CA

• Uncertainty Quantification for Combining Experimental Data and Computer Simulations

  Presented by Brian Williams, Los Alamos National Laboratory
  Thursday, December 1, 2005
  RAND Corporation, Santa Monica, CA

• Fifty Years of Empirical Bayes

  Presented by Bradley Efron, Stanford University
  Thursday, October 27, 2005
  10:30 a.m.
  RAND Corporation, Santa Monica, CA
  Forum m-1226-1228

• Topic TBA

  Presented by David Hinkley, University of California Santa Barbara
  September 8, 2005
  10:30 a.m. - 12:00
  RAND Corporation, Santa Monica, CA
  Forum m-1226-1228

• Object Oriented Data Analysis

  Presented by J.S. Marron
  Department of Statistics and Operations Research
  University of North Carolina
  Thursday, June 30, 2005
  Forum m-1226-1228, Santa Monica D.C.: Rm. 6201; Pittsburgh: Rm. 434

• Mixed-Effects Cox Models

  Presented by Terry Therneau, Mayo Clinic
  Thursday, April 07, 2005, 10:30 a.m.
  Forum m-1226-1228, Santa Monica

• Identification of the Variance Components in the General Two-Variance Linear Model

  Presented by Jim Hodges, Division of Biostatistics and Director
  Biostatistics Core
  Minnesota Oral Health Clinical Research Center at the University of Minnesota
  Friday, February 11, 2005, 10:30 a.m.
  Forum m-1224, Santa Monica

• Responsive Design for Household Surveys: Tools for Actively Controlling Survey Nonresponse and Costs

  Presented by Robert M. Groves, Director University of Michigan Survey Research Center
  Institute for Social Research Joint Program in Survey Methodology
  Friday, January 7, 2005, 10:30 a.m.
  Forum m-1226, Santa Monica
  Sponsored by the RAND Statistics Group and the RAND Survey Research Group

• Modeling Massive Dynamic Graphs

  Presented by Dr. Chris Volinsky, Director
  Statistics Research Department
  AT&T Research
  Florham, Park, NJ
  Thursday, January 27, 2005, 10:30 a.m.
  Forum m-1226-28, Santa Monica

• Reasoning with Cause and Effect

  Presented by Judea Pearl
  University of California, Los Angeles
  December 9, 2004, 10:30 a.m.
  Forum m-1226 - Santa Monica

• Selection and Estimation for Large-Scale Simultaneous Inference

  Presented by Brad Efron
  Stanford University
  October 28, 2004, 4:00 pm - reception at 3:30 p.m.
  Santa Monica, CA

• Improved Minimax Prediction Under Kullback-Leibler Loss

  Presented by Edward George
  The Wharton School Statistics Department
  June 17, 2004, 4:00 pm
  Main Conference Room

• Blending Statistics and Graphics in Visual Data Mining

  Presented by Antony Unwin
  University of Augsburg, Germany
  May 20, 2004, 4:00 pm
  Main Conference Room

• Effect of Length Biased Sampled Sojourn Times on the Survival Distribution from Screen-Detected Diseases

  Presented by Karen Kafadar
  Department of Mathematics
  University of Colorado, Denver
  Thursday, April 15, 2004, 4:00 pm
  Main Conference Room

• Visual Exploration of Graph Data in GGobi

  Presented by Debby Swayne
  AT&T Labs-Research
  Florham Park, NJ
  Thursday, March 18, 2004, 4:00 pm
  Main Conference Room

• Causal Inference with General Treatment Regimes: Generalizing the Propensity Score

  Presented by David van Dyk
  Department of Statistics
  University of California at Irvine
  Monday, January 26, 2004 4:00 p.m.
  Main Conference Room

• Listening Post

  Presented by Mark Hansen
  University of California, Los Angeles
  Thursday, November 20, 2003 4:00 pm
  Main Conference Room

• The Trouble with Harry (Markowitz)

  Presented by James Thompson
  Rice University
  Thursday, October 23, 2003 4:00 pm
  Main Conference Room

• Large-scale Simultaneous Hypothesis Testing

  Presented by Brad Efron
  Department of Statistics
  Stanford University
  Thursday, September 18, 2003 4:00 pm
  Main Conference Room

• Random Effects Models for Dyadic Network Data

  Presented by Peter Hoff, Assistant Professor
  Departments of Statistics and Biostatistics Center for Statistics and the Social Sciences
  University of Washington
  Thursday, May 15, 2003 4:00 pm
  Main Conference Room

• Survival Analysis using Flowgraph Models

  Presented by Aparna Huzurbazar, Senior Advisor and Statistician
  RAND Corporation, Santa Monica
  Thursday, June 19, 2003 4:00 pm
  Main Conference Room

• Bayesian Modeling and Analysis of Treatment-Response Data

  Presented by Siddhartha Chib, Harry C. Hartkopf Professor of Econometrics and Statistics
  Department of Statistics
  John M. Olin School of Business
  Washington University, St. Louis
  Thursday, April 17, 2003 4:00 pm
  Main Conference Room

• Probability Measures of Fuzzy Sets

  Presented by Nozer D. Singpurwalla, Professor of Statistics
  Department of Statistics
  The George Washington University
  Friday, March 28, 2003 2:00 pm
  Main Conference Room

• Egocentric Network Analysis

  Presented by Christopher McCarty, Survey Director
  Survey Research Center
  University of Florida
  Thursday, February 6, 2003 3:00 pm
  Main Conference Room