## 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

## Leanna House, Virginia Tech

Sponsor(s):
Statistical Science

Friday, April 06, 2018

3:30 pm - 4:30 pm

Leanna House, Virginia Tech