## 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

## Model selection over partially ordered sets

Sponsor(s):
Statistical Science

Friday, December 08, 2023

3:30 pm - 4:30 pm

Armeen Taeb, Assistant Professor, University of Washington

## Video Imputation and Prediction Methods with Applications in Space Weather

Sponsor(s):
Statistical Science

Friday, January 12, 2024

3:30 pm - 4:30 pm

Yang Chen, Assistant Professor, University of Michigan

## Probabilistic methods for designing functional protein structures

Sponsor(s):
Statistical Science

Friday, January 19, 2024

3:30 pm - 4:30 pm

Brian Trippe, Columbia University

## Bridged Posterior: Optimization, Profile Likelihood and a New Approach of Generalized Bayes

Sponsor(s):
Statistical Science

Monday, January 22, 2024

11:45 am - 12:45 pm

Leo Duan, Assistant Professor, University of Florida

## An Exact Sampler for Inference after Polyhedral Selection

Sponsor(s):
Statistical Science

Friday, January 26, 2024

3:30 pm - 4:30 pm

Sifan Liu, Stanford University

## CANCELLED:Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects

Sponsor(s):
Statistical Science

Monday, January 29, 2024

11:45 am - 12:45 pm

Satarupa Bhattacharjee, Pennsylvania State

## The Many Facets of Monte Carlo Methods: From Sampling Algorithms to Unbiased Estimators

Sponsor(s):
Statistical Science

Friday, February 02, 2024

3:30 pm - 4:30 pm

Guanyang Wang, Assistant Professor, Rutgers University

## Inference for machine learning under dependence

Sponsor(s):
Statistical Science

Monday, February 05, 2024

11:45 am - 12:45 pm

Arkajyoti Saha, University of Washington

## A Day in the Life: JMP R&D

Sponsor(s):
Statistical Science

Wednesday, February 07, 2024

3:05 pm - 4:20 pm

Dr. Ryan Lekivetz, Senior Manager, Advanced Analytics R&D, JMP

## Debiasing in the inconsistency regime

Sponsor(s):
Statistical Science

Friday, February 09, 2024

3:30 pm - 4:30 pm

Michael Celentano, University of California, Berkeley

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