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
