A Bayesian Item Response Theory Approach to Estimating Survey Mode Effects
Sponsor(s):
Statistical Science
Wednesday, April 26, 2017
3:30 pm - 4:30 pm
Lou Mariano, RAND
Encounters with imprecise probabilities
Sponsor(s):
Statistical Science
Friday, September 01, 2017
3:30 pm - 4:30 pm
James Berger, Duke University
Change-point detection for locally dependent data
Sponsor(s):
Statistical Science
Friday, September 08, 2017
3:30 pm - 4:30 pm
Hao Chen, University California, Davis
Multi-scale Classification using Localized Spatial Depth
Sponsor(s):
Statistical Science
Friday, September 15, 2017
3:30 pm - 4:30 pm
Subhajit Dutta
Global-Local Priors for Small Area Estimation
Sponsor(s):
Statistical Science
Friday, September 22, 2017
3:30 pm - 4:30 pm
Malay Ghosh, University of Florida
Information Recovery in Shuffled Graphs via Graph Matching
Sponsor(s):
Statistical Science
Friday, September 29, 2017
3:30 pm - 4:30 pm
Vince Lyzinski, Johns Hopkins University
Unbiased Markov chain Monte Carlo with couplings
Sponsor(s):
Statistical Science
Friday, October 13, 2017
3:30 pm - 4:30 pm
Pierre Jacob, Harvard University
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
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