Reed-Muller codes achieve capacity on BMS channels
Sponsor(s):
Statistical Science
Friday, January 21, 2022
3:30 pm - 4:30 pm
Galen Reeves, Associate Professor, Duke University Statistical Science
Experimental design for studying political polarization
Sponsor(s):
Statistical Science
Friday, January 28, 2022
3:30 pm - 4:30 pm
Alexander Volfovsky, Assistant Professor, Statistical Science, Duke University
Machine Learning Approach to Kaggle COVID 19 Global Forecasting Challenge
Sponsor(s):
Statistical Science
Wednesday, March 23, 2022
3:30 pm - 4:45 pm
Funda Güneş, Master's Director, Duke University
Characterizing the Type 1-Type 2 Error Trade-off for SLOPE
Sponsor(s):
Statistical Science
Friday, March 25, 2022
3:30 pm - 4:30 pm
Cynthia Rush, Assistant Professor, Columbia University, Statistics
Controlled Discovery and Localization of Signals via Bayesian Linear Programming
Sponsor(s):
Statistical Science
Friday, April 01, 2022
3:30 pm - 4:30 pm
Lucas Janson, Assistant Professor, Statistics and Affiliate, Computer Science, Harvard University
Functional Models for Time Varying Random Objects
Sponsor(s):
Statistical Science
Friday, April 08, 2022
3:30 pm - 4:30 pm
Paromita Dubey, Assistant Professor, Data Sciences and Operations, USC Marshall School of Business
Arabic Night 2022
Sponsor(s):
Asian & Middle Eastern Studies (AMES)
Wednesday, April 13, 2022
6:00 pm
Variable Selection and Prioritization in Bayesian Machine Learning Methods
Sponsor(s):
Statistical Science
Friday, April 15, 2022
3:30 pm - 4:30 pm
Lorin Crawford, RGSS Assistant Professor, Biostatistics, Brown University
Revisiting Gelman-Rubin with Global Centering
Sponsor(s):
Statistical Science
Monday, May 09, 2022
12:00 pm - 1:00 pm
Dootika Vats is an Assistant Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur, India.
Bayesian Functional Principal Component Analysis using Relaxed Mutually Orthogonal Processes
Sponsor(s):
Statistical Science
Friday, September 09, 2022
3:30 pm - 4:30 pm
James Matuk, Postdoctoral Associate, Duke University
Semiparametric discrete data regression with Monte Carlo inference and prediction
Sponsor(s):
Statistical Science
Friday, September 16, 2022
3:30 pm - 4:30 pm
Daniel Kowal, Dobelman Family Assistant Professor Department of Statistics, Rice University
Unsupervised tree boosting for learning probability distributions
Sponsor(s):
Statistical Science
Friday, September 23, 2022
3:30 pm - 4:30 pm
Li Ma, Associate Professor of Statistical Science, Duke University
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
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