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
GS-BART: Graph split additive decision trees for classification and nonparametric regression of spatial and network data
Sponsor(s):
Statistical Science
Friday, February 23, 2024
3:30 pm - 4:30 pm
Huiyan Sang Professor of Statistics Texas A&M University
InfiAgent: A Multi-Tool Agent for AI Operating Systems
Sponsor(s):
Statistical Science
Wednesday, February 28, 2024
3:05 pm - 4:20 pm
Dr. Hongxia Yang, Head of Large Models, ByteDance US
Leveraging Visual Cognition in Data Visualization
Sponsor(s):
Statistical Science
Friday, March 01, 2024
3:30 pm - 4:30 pm
Danielle Szafir, Assistant Professor of Computer Science at the University of North Carolina-Chapel Hill
Bayesian trees and forests for unsupervised learning and their spatial adaptation properties
Sponsor(s):
Statistical Science
Friday, March 08, 2024
3:30 pm - 4:30 pm
Linxi Liu, Assistant Professor, University of Pittsburgh
Surrogate modeling and uncertainty quantification for inverse problems and dynamical systems
Sponsor(s):
Statistical Science
Friday, March 29, 2024
3:30 pm - 4:30 pm
Ying Hung, Professor, Rutgers University
Advances in Adversarial Risk Analysis
Sponsor(s):
Statistical Science
Friday, April 05, 2024
3:30 pm - 4:30 pm
Fabrizio Ruggeri, CNR IMATI, Milano, Italy
Quantum Markov chain Monte Carlo(s)
Sponsor(s):
Statistical Science
Friday, April 12, 2024
3:30 pm - 4:30 pm
Andrew Holbrook, Assistant Professor, UCLA
Sparse topic modeling via spectral decomposition and thresholding
Sponsor(s):
Statistical Science
Friday, April 19, 2024
3:30 pm - 4:30 pm
Claire Donnat, Department of Statistics, University of Chicago
Utilizing Network Structure to Flexibly Model Areal Data
Sponsor(s):
Statistical Science
Friday, June 07, 2024
10:00 am - 12:00 pm
Michael Christensen
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