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
