## Algorithmic Stochastic Localization for the Sherrington-Kirkpatrick Model

Sponsor(s):
Statistical Science

Friday, October 07, 2022

3:30 pm - 4:30 pm

Mark Sellke, Assistant Professor, Dept. of Statistics, Harvard

## The Shadow Carceral State and Racial Inequality

Sponsor(s):
Statistical Science

Friday, October 14, 2022

3:30 pm - 4:30 pm

Ted Enamorado, Washington University at St Louis

## Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC

Sponsor(s):
Statistical Science

Friday, October 21, 2022

3:30 pm - 4:30 pm

Andi Wang, Senior Research Associate, School of Mathematics Research, University of Bristol-Warwick

## Scalable community detection in massive networks via predictive inference

Sponsor(s):
Statistical Science

Friday, October 28, 2022

3:30 pm - 4:30 pm

Srijan Sengupta, Assistant Professor, NC State University

## Disentangling confounding and nonsense associations due to dependence

Sponsor(s):
Statistical Science

Friday, November 04, 2022

3:30 pm - 4:30 pm

Elizabeth Ogburn, Associate Professor, Johns Hopkins University

## Representation Learning: A Causal Perspective

Sponsor(s):
Statistical Science

Friday, November 11, 2022

3:30 pm - 4:30 pm

Yixin Wang, Assistant Professor, Statistics, University of Michigan

## Interpretable sensitivity analysis for the Baron–Kenny approach to mediation with unmeasured confounding

Friday, November 18, 2022

3:30 pm - 4:30 pm

Peng Ding, University of California, Berkeley

## High Dimensional Random Forests Estimation and Inference

**CANCELED**

Friday, December 02, 2022

3:30 pm - 4:30 pm

Yingying Fan, Professor, USC Marshall

## Structured prior distributions for the covariance matrix in latent factor models

Sponsor(s):
Statistical Science

Friday, December 09, 2022

3:30 pm - 4:30 pm

Sarah Heaps, Associate Professor, Statistics, Durham University

## Make your own kind of sparse DAG; Fit your own special scalable Gaussian process. Bayesian geostatistics for massive data

Sponsor(s):
Statistical Science

Friday, January 13, 2023

3:30 pm - 4:30 pm

Dr. Michele Peruzzi, Postdoctoral Associate, Duke Statistical Science

## 3D Bivariate Spatial Modelling of Argo Ocean Temperature and Salinity Profiles

Sponsor(s):
Statistical Science

Wednesday, January 18, 2023

3:30 pm - 4:30 pm

Dr. Mary Salvaña, Statistician / Postdoctoral Research Fellow, University of Houston

## Hierarchical Structures in Bayesian Statistics

Sponsor(s):
Statistical Science

Friday, January 20, 2023

3:30 pm - 4:30 pm

Filippo Ascolani, PhD student, Statistics, Bocconi University,

## Identifiable Deep Generative Models via Sparse Decoding

Sponsor(s):
Statistical Science

Wednesday, January 25, 2023

3:30 pm - 4:30 pm

Dr. Gemma Moran, Postdoctoral Associate, Columbia Data Science Institute

## To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates

Sponsor(s):
Statistical Science

Friday, January 27, 2023

3:30 pm - 4:30 pm

Dr. Anqi Zhao, Assistant Professor, National University of Singapore

## Undergrads Take Over StatSci Seminar!

Sponsor(s):
Statistical Science

Friday, February 10, 2023

3:30 pm - 4:30 pm

Statistical Science Undergraduate Students

## Harvard Business School - Information Session (MBA and 2+2 Program)

Sponsor(s):
Trinity College

Wednesday, March 01, 2023

7:00 pm - 8:30 pm

## Mission Imputable: Correcting for Berkson Error When Imputing a Censored Covariate

Sponsor(s):
Statistical Science

Friday, March 10, 2023

3:30 pm - 4:30 pm

Tanya P. Garcia, Associate Professor of Biostatistics, UNC-Chapel Hill, Gillings School of Public Health

## Design-Based Anytime-Valid Causal Inference

Sponsor(s):
Statistical Science

Friday, March 31, 2023

3:30 pm - 4:30 pm

Iavor Bojinov, Assistant Professor, Business Administration, Harvard Business School

## On the Convergence of Coordinate Ascent Variational Inference

Sponsor(s):
Statistical Science

Friday, April 07, 2023

3:30 pm - 4:30 pm

Anirban Bhattacharya, Professor, Department of Statistics, Texas A&M University

## The role of skewed distributions in Bayesian inference: conjugacy, scalable approximations and asymptotics

Sponsor(s):
Statistical Science

Friday, April 14, 2023

3:30 pm - 4:30 pm

Daniele Durante, Assistant Professor, Bocconi University

## Finite-dimensional discrete random structures and Bayesian clustering

Sponsor(s):
Statistical Science

Friday, April 21, 2023

3:30 pm - 4:30 pm

Tomasso Rigon, Assistant Professor, University of Milano Bicocca

## A Bayesian Nonparametric Approach to Geographic and Two-Dimensional Regression Discontinuity Designs

Sponsor(s):
Statistical Science

Friday, April 28, 2023

3:30 pm - 4:30 pm

Luke Miratrix, Associate Professor, Harvard University

## Ecological Modeling via Bayesian Nonparametric Species Sampling Priors

Sponsor(s):
Statistical Science

Tuesday, June 20, 2023

8:30 am - 10:30 am

Alessandro Zito

## Contour Location for Airfoil Simulation Experiments Using Deep Gaussian Processes

Sponsor(s):
Statistical Science

Friday, September 01, 2023

3:30 pm - 4:30 pm

Annie Booth, Assistant Professor, North Carolina State University

## Empirical partially Bayes multiple testing and compound χ² decisions

Sponsor(s):
Statistical Science

Friday, September 08, 2023

3:30 pm - 4:30 pm

Nikolaos (Nikos) Ignatiadis, Assistant Professor, The University of Chicago

## Causal Quartet: When statistics alone do not tell the full story

Sponsor(s):
Statistical Science

Friday, September 15, 2023

3:30 pm - 4:30 pm

Lucy D'Agostino McGowan, Assistant Professor, Wake Forest University

## Harvard Business School - Information Session (Deferred MBA, 2+2 Program)

Sponsor(s):
Trinity College

Wednesday, September 20, 2023

7:00 pm - 8:30 pm

## An Exact t-Test

Sponsor(s):
Statistical Science

Friday, September 22, 2023

3:30 pm - 4:30 pm

Guillaume Pouliot, University of Chicago

## Accurate and scalable large-scale variational inference for mixed models

Sponsor(s):
Statistical Science

Friday, September 29, 2023

3:30 pm - 4:30 pm

Omiros Papaspiliopoulos, Professor, Bocconi University

## When a little imprecision can help: Case studies from statistical privacy

Sponsor(s):
Statistical Science

Friday, October 06, 2023

3:30 pm - 4:30 pm

Ruobin Gong, Assistant Professor, Rutgers

## Collaborative and Federated Data Analytics Beyond Predictive Modeling

Sponsor(s):
Statistical Science

Friday, October 20, 2023

3:30 pm - 4:30 pm

Raed Al Kontar, Assistant Professor, University of Michigan

## Machine Learning to Infer and Control Brain State

Sponsor(s):
Statistical Science

Friday, November 03, 2023

3:30 pm - 4:30 pm

David Carlson, Assistant Professor, Civil and Environmental Engineering, Duke University

## Career Opportunities in Academic Healthcare

Sponsor(s):
Statistical Science

Wednesday, November 08, 2023

3:05 pm - 4:20 pm

Gina-Maria Pomann PhD, Assistant Professor, Department of Biostatistics and Bioinformatics, Duke University School of Medicine and Richard Barfield, Staff Biostatistician, Department of Biostatistics and Bioinformatics, Duke University School of Medicine

## Grey-Box Bayesian Optimization for Human-in-the-loop Optimization

Sponsor(s):
Statistical Science

Friday, November 10, 2023

3:30 pm - 4:30 pm

Peter Frazier Eleanor and Howard Morgan Professor Operations Research and Information Engineering Cornell University

## The Sahel Region: Coups, Jihadism, Wagner & Anti-French Sentiments

Sponsor(s):
Africa Initiative

Thursday, November 16, 2023

11:30 am - 1:00 pm

Leif Brottem (Grinnell College), Marc-Antoine Pérouse de Montclos (IRD, Paris), Alioune Sow (University of Florida), Stephen Smith (Duke)

## On low-dimensional structure in transport and inference

Sponsor(s):
Statistical Science

Friday, November 17, 2023

3:30 pm - 4:30 pm

Youssef Marzouk, Professor, MIT

## BET and BELIEF

Sponsor(s):
Statistical Science

Friday, December 01, 2023

3:30 pm - 4:30 pm

Kai Zhang, Associate Professor, UNC