Phystatistics: The Rise of the Data Physicist
Sponsor(s):
Statistical Science
Friday, October 18, 2024
3:30 pm - 4:30 pm
Benjamin Nachman, Staff Scientist, Lawrence Berkeley National Laboratory
On Mixture of Experts in Large-Scale Statistical Machine Learning Applications
Sponsor(s):
Statistical Science
Friday, October 25, 2024
3:30 pm - 4:30 pm
Nhat Ho, Assistant Professor, The University of Texas at Austin
Two Tales of L1 Variants for Sparse Signal and Low-rank Tensor Recovery
Sponsor(s):
Statistical Science
Friday, November 08, 2024
3:30 pm - 4:30 pm
Yifei Lou, Associate Professor, School of Data Science and Society, The University of North Carolina
Data integration approaches to estimate heterogeneous treatment effects
Sponsor(s):
Statistical Science
Friday, November 15, 2024
3:30 pm - 4:30 pm
Carly Brantner, Assistant Professor of Biostatistics & Bioinformatics, Duke University
Probabilistic Tensor Decomposition Model for Measuring Complex Dependence Structure in Sparse Dyadic Event Data
Sponsor(s):
Statistical Science
Friday, November 22, 2024
3:30 pm - 4:30 pm
Aaron Schein, Assistant Professor, Department of Statistics and Data Science Institute, University of Chicago
Multitask Learning for High-dimensional Time Series
Sponsor(s):
Statistical Science
Monday, January 13, 2025
3:30 pm - 4:30 pm
Marie-Christine Dueker, Assistant Professor, Mathematical Statistics & Data Science, University of Erlangen-Nuremburg
Bayesian Linear Regression with a Sparse Prior: Inference for a Single Coordinate
Sponsor(s):
Statistical Science
Friday, January 17, 2025
3:30 pm - 4:30 pm
Lasse Vuursteen, Postdoctoral Scholar, University of Pennsylvania, Wharton School of Business
Asymptotics of High-Dimensional Bayesian Inference
Sponsor(s):
Statistical Science
Wednesday, January 22, 2025
3:30 pm - 4:30 pm
Anya Katsevich
Latent Variable Models for Advancing Nutrition Epidemiology
Sponsor(s):
Statistical Science
Friday, January 24, 2025
3:30 pm - 4:30 pm
Mengbing Li
On Mixing Rates for Bayesian CART
Sponsor(s):
Statistical Science
Monday, January 27, 2025
3:30 pm - 4:30 pm
Jungeum Kim
Integrated Path Stability Selection
Sponsor(s):
Statistical Science
Friday, January 31, 2025
3:30 pm - 4:30 pm
Omar Melikechi
Modern Sampling Paradigms: from Posterior Sampling to Generative AI
Sponsor(s):
Statistical Science
Monday, February 03, 2025
3:30 pm - 4:30 pm
Yuchen Wu
Bayesian Modeling of Misclassification Matrices for Improved Verbal Autopsy-Based Mortality Estimates in LMICs
Sponsor(s):
Statistical Science
Friday, February 07, 2025
3:30 pm - 4:30 pm
Sandipan Pramanik
Data Integration Via Analysis of Subspaces (DIVAS)
Sponsor(s):
Statistical Science
Friday, February 21, 2025
3:30 pm - 4:30 pm
J.S. Marron, Prof of Biostatistics, School of Data Science & Society, UNC-Chapel Hill
To Intrinsic Dimension and Beyond: Efficient Sampling in Diffusion Models
Sponsor(s):
Statistical Science
Friday, February 28, 2025
3:30 pm - 4:30 pm
Yuting Wei, Asst Prof Statistics & Data Science, University of Pennsylvania, Wharton School of Business
Random Partitions for Multi-view Data: How to Encode Repeated Measures Design into Nonparametric Bayesian Models.
Sponsor(s):
Statistical Science
Friday, April 11, 2025
3:30 pm - 4:30 pm
Beatrice Franzolini, Jr. Asst. Professor, Institute for Data Science & Analytics, Bocconi University
Quantifying the Effects of Transfer Learning in Min-norm Interpolation
Sponsor(s):
Statistical Science
Friday, April 18, 2025
3:30 pm - 4:30 pm
Pragya Sur, Assistant Professor of Statistics, Harvard University
Bayesian Model Averaging in Causal Instrumental Variable Models
Sponsor(s):
Statistical Science
Monday, April 21, 2025
11:30 am - 1:00 pm
Mark Steel, Professor of Statistics, University of Warwick
Generative Distribution Prediction for Multimodal Learning
Sponsor(s):
Statistical Science
Friday, April 25, 2025
3:30 pm - 4:30 pm
Xiaotong Shen, Professor of Statistics, University of Minnesota
The Fast and the Fourier-ous: Non-Parametric Autocovariance Modeling with Spline Kernels
Sponsor(s):
Statistical Science
Thursday, August 14, 2025
3:30 pm - 4:30 pm
Lacchlan Astfalck, Research Fellow, University of Western Australia, School of Physics, Mathematics & Computing
Sampling via Iterative Gaussianization
Sponsor(s):
Statistical Science
Friday, September 05, 2025
3:30 pm - 4:30 pm
Sifan Liu
Semiparametric Bayesian Inference for a Conditional Moment Equality Model
Sponsor(s):
Statistical Science
Friday, September 12, 2025
3:30 pm - 4:30 pm
Christopher D. Walker
Parallelizing MCMC Across the Sequence Length: T samples in O(log2 T) time
Sponsor(s):
Statistical Science
Friday, September 19, 2025
3:30 pm - 4:30 pm
Scott W. Linderman, Assistant Professor of Statistics and an Institute Scholar in the Wu Tsai Neurosciences Institute at Stanford University
Graph Joinings and Reversible Markov Chains
Sponsor(s):
Statistical Science
Friday, September 26, 2025
3:30 pm - 4:30 pm
Andrew B. Nobel, PhD
Longitudinal Functional Data Methods for Emerging Repeated Measurements
Sponsor(s):
Statistical Science
Friday, October 03, 2025
3:30 pm - 4:30 pm
Ana-Maria Staicu
Scalable and robust regression models for continuous proportional data
Sponsor(s):
Statistical Science
Friday, October 17, 2025
3:30 pm - 4:30 pm
Changwoo lee
Offline Data-Driven Decision Making with Applications to Assortment Optimization: Estimation and Inference
Sponsor(s):
Statistical Science
Friday, October 24, 2025
3:05 pm - 4:35 pm
Ethan Fang
Spatial data fusion of point processes to infer marine mammal abundance
Sponsor(s):
Statistical Science
Friday, October 31, 2025
3:30 pm - 4:30 pm
Erin Schliep
Multivariate Causal Effect: a Bayesian Regression Factor Model
Sponsor(s):
Statistical Science
Friday, November 07, 2025
3:30 pm - 4:30 pm
Dafne Zorzetto
The Power of Symmetry in Coding and Sensing
Sponsor(s):
Statistical Science
Friday, November 14, 2025
3:30 pm - 4:30 pm
Henry Pfister
Friday Seminar in the department of Statistical Science
Sponsor(s):
Statistical Science
Friday, November 21, 2025
3:30 pm - 4:30 pm
TBD
