
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

Support points - a new way to reduce big and high-dimensional data
Sponsor(s):
Statistical Science
Friday, January 18, 2019
3:30 pm - 4:30 pm
Simon Tsz Fung Mak, Georgia Tech

Towards a mathematical theory of development
Sponsor(s):
Statistical Science
Wednesday, January 23, 2019
3:30 pm - 4:30 pm
Geoffrey Schiebinger, Postdoctoral fellow in the MIT Center for Statistics and the Klarman Cell Observatory at the Broad Institute of MIT and Harvard

Data Denoising for Single-cell RNA sequencing
Sponsor(s):
Statistical Science
Friday, January 25, 2019
3:30 pm - 4:30 pm
Jingshu Wang, UPENN
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