A projection-based approach for spatial generalized linear mixed models
Sponsor(s):
Statistical Science
Friday, October 20, 2017
3:30 pm - 4:30 pm
Murali Haran, Penn State
Bayesian Approaches for Dynamic Model Selection: two contributions
Sponsor(s):
Statistical Science
Friday, October 27, 2017
3:30 pm - 4:30 pm
Michele Guindani, University of California, Irvine
An MCMC Approach to Empirical Bayes Inference and Bayesian Sensitivity Analysis via Empirical Processes
Sponsor(s):
Statistical Science
Friday, November 03, 2017
3:30 pm - 4:30 pm
Hani Doss, University of Florida
Meta-Analysis With Multiple Imputation: Constructing Data Banks for Hard-To-Study Populations
Sponsor(s):
Statistical Science
Friday, November 10, 2017
3:30 pm - 4:30 pm
Elly Kaizar, Ohio State
Statistical Concepts for Single-Cell Genomics
Sponsor(s):
Statistical Science
Friday, November 17, 2017
3:30 pm - 4:30 pm
Lior Pachter, Cal Tech
Teaching to Learn: Statistics in Data Science
Sponsor(s):
Statistical Science
Monday, November 27, 2017
2:00 pm - 3:00 pm
David Dalpiaz, University of Illinois
Anchored Bayesian Mixture Models
Sponsor(s):
Statistical Science
Wednesday, November 29, 2017
3:30 pm - 4:30 pm
Deborah Kunkel, The Ohio State University
Approximate MCMC in Theory and Practice
Sponsor(s):
Statistical Science
Friday, December 01, 2017
3:30 pm - 4:30 pm
James Johndrow, Stanford University
A Bayesian Approach to Interpreting Latent Fingerprint Evidence
Sponsor(s):
Statistical Science
Wednesday, December 06, 2017
3:30 pm - 4:30 pm
Maria Tackett, University of Virginia
Estimation of open populations from multiple structurally different data sets
Sponsor(s):
Statistical Science
Friday, December 08, 2017
3:30 pm - 4:30 pm
Lutz Gruber, University of Nebraska-Lincoln
High Dimensional Inference: Semiparametrics, Counterfactuals, and Heterogeneity
Sponsor(s):
Statistical Science
Friday, January 12, 2018
3:30 pm - 4:30 pm
Ying Zhu, Michigan State University
Eigenvalues in multivariate random effects models
Sponsor(s):
Statistical Science
Wednesday, January 17, 2018
3:30 pm - 4:30 pm
Zhou Fan, Stanford
Enabling likelihood-based inference for complex and dependent
Sponsor(s):
Statistical Science
Friday, January 19, 2018
3:30 pm - 4:30 pm
Jason Xu, UCLA
Least squares estimation: beyond Gaussian regression models
Sponsor(s):
Statistical Science
Wednesday, January 24, 2018
3:30 pm - 4:30 pm
Roy Han, Univ. of Washington
Beyond matrices: theory, methods, and applications of higher-order tensors
Sponsor(s):
Statistical Science
Friday, January 26, 2018
3:30 pm - 4:30 pm
Miaoyan Wang, UC Berkeley
Interactive algorithms for multiple hypothesis testing
Sponsor(s):
Statistical Science
Friday, February 02, 2018
3:30 pm - 4:30 pm
Aaditya Ramdas, UC Berkeley
Estimation and testing for two-stage experiments in the presence of interference
Sponsor(s):
Statistical Science
Wednesday, February 07, 2018
3:30 pm - 4:30 pm
Guillaume Basse, Harvard
Constrained low-rank matrix (and tensor) estimation
Sponsor(s):
Statistical Science
Friday, February 23, 2018
3:30 pm - 4:30 pm
Lenka Zdeborova, CNRS and CEA Saclay, France, Currently at Duke for Spring Semester 2018
Information theory and high-dimensional statistical inference
Sponsor(s):
Statistical Science
Friday, March 23, 2018
3:30 pm - 4:30 pm
Galen Reeves, Duke University
Space-Time Modeling of Small Area Data in a Developing World Setting
Sponsor(s):
Statistical Science
Friday, March 30, 2018
3:30 pm - 4:30 pm
Jon Wakefield, University of Washington
Incorporating Uncertainty within Human-in-the-Loop Analytics for Data Exploration
Sponsor(s):
Statistical Science
Friday, April 06, 2018
3:30 pm - 4:30 pm
Leanna House, Virginia Tech
Manifold Data Analysis with Applications to High-Resolution 3D Imaging
Sponsor(s):
Statistical Science
Friday, April 13, 2018
3:30 pm - 4:30 pm
Matthew Reimherr, Penn State University
Space and circular time log Gaussian Cox processes with application to crime event data
Sponsor(s):
Statistical Science
Friday, April 20, 2018
3:30 pm - 4:30 pm
Alan Gelfand, Duke University
Introducing the overlap weights for causal inference
Sponsor(s):
Statistical Science
Friday, August 31, 2018
3:30 pm - 4:30 pm
Fan Li, Duke University Statistical Science
On the Pitman-Yor process with spike and slab base measure
Sponsor(s):
Statistical Science
Friday, September 07, 2018
3:30 pm - 4:30 pm
Antonio Canale, University of Padova, Department of Statistical Sciences
Bayesian Multiple Breakpoint Detection: Mixing Documented and Undocumented Changepoints
Sponsor(s):
Statistical Science
Friday, September 14, 2018
3:30 pm - 4:30 pm
Robert Lund, Clemson University, Mathematical Sciences
Permutation tests in the presence of confounders
Sponsor(s):
Statistical Science
Friday, September 21, 2018
3:30 pm - 4:30 pm
Rina Foygel Barber, University of Chicago
Inference of biological networks with biophysically motivated methods
Sponsor(s):
Statistical Science
Friday, September 28, 2018
3:30 pm - 4:30 pm
Rich Bonneau, New York University
Transfer Learning and Data Alignment in Single Cell Transcriptomics
Sponsor(s):
Statistical Science
Friday, October 12, 2018
3:30 pm - 4:30 pm
Nancy Zhang, Wharton School, University of Pennsylvania
Stochastic process models for animal trajectories
Sponsor(s):
Statistical Science
Friday, October 19, 2018
3:30 pm - 4:30 pm
Mevin Hooten, Colorado State University
The Blessings of Multiple Causes
Sponsor(s):
Statistical Science
Friday, October 26, 2018
3:30 pm - 4:30 pm
Dave Blei, Columbia University
The Little CpG Site That Could (and eight others less so): Developing Effect Size Measures for Mediation Analysis
Sponsor(s):
Statistical Science
Friday, November 02, 2018
3:30 pm - 4:30 pm
Yue Jiang, UNC Department of Biostatistics
Handling Missing Data in Surveys
Sponsor(s):
Statistical Science
Monday, November 05, 2018
3:30 pm - 4:30 pm
Olanrewaju Michael Akande, Department of Statistical Science, Duke University
Monte Carlo Methods and Contingency Tables
Sponsor(s):
Statistical Science
Friday, November 09, 2018
3:30 pm - 4:30 pm
Robert Eisinger, Instructor of Mathematics, Statistics, and Computer Science, St. Olaf College
Using Item Response Theory to Better Understand Forensic Fingerprint Examination
Sponsor(s):
Statistical Science
Monday, November 12, 2018
3:30 pm - 4:30 pm
Amanda Luby, PhD candidate, Carnegie Mellon University.
Web Scraping in the Statistics Curricula: Challenges and Opportunities
Sponsor(s):
Statistical Science
Wednesday, November 14, 2018
3:30 pm - 4:30 pm
Mine Dogucu, Visiting Professor, Denson University
Design and analysis of pragmatic clinical trials to optimize clinical outcomes
Sponsor(s):
Statistical Science
Friday, November 16, 2018
3:30 pm - 4:30 pm
Hayley Belli, Post-Doctoral Fellow, Division of Biostatistics New York University Langone School of Medicine
Covariance change point detection and identification (See abstract for full title)
Sponsor(s):
Statistical Science
Monday, November 19, 2018
3:30 pm - 4:30 pm
Shawn Santo, Ph.D. Candidate at Michigan State University
Statistical inference for infectious disease modeling
Sponsor(s):
Statistical Science
Wednesday, January 16, 2019
3:30 pm - 4:30 pm
Po-Ling Loh, University of Wisconsin - Madison
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