Moderator: Marie NeubranderSpeakers: Yunran Chen and Rihui OuYunran ChenShrinkage-based Covariance Matrix EstimationCovariance matrix estimation is fundamental to multivariate statistical… read more about STA 701 Talk »
We study how designing ballots with and without party designations impacts electoral outcomes when partisan voters rely on party-order cues to infer candidate affiliation in races without… read more about Ballot design and electoral outcomes: The role of candidate order and party affiliation »
The first General Business meeting of the StatSci Majors Union will be held on Tuesday, September 10, at 7 pm in Old Chemistry 201. read more about SSMU General Business Meeting »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Tree-Based Generative Models with Applications to Microbiome Compositional Data »
Some context and perspective: On statistical analysis with multiple- or many- candidate models defining model-specific predictions and decision recommendations. How to calibrate, collate and combine… read more about Bayesian forecasting and decisions under model uncertainty: Here and back again (1988–2024) »
The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Advances in Adaptive Sampling »
Our JSM Social will be held at the Bridgetown Barbeque Restaurant in the Hyatt Regency Portland At The Oregon Convention Center, 375 NE Holladay St, Portland, OR 97232. Drinks and… read more about JSM 2024 Social Event »
The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Ensembling and Coordination Methods for Sequential Decision Making Under Uncertainty »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Graphical and Isoperimetric Perspectives in Sampling and Regularization »
Please join us in Venice after the ISBA sessions on Thursday, July 4, at the Hotel Carlton on the Grand Canal. from 18:30 to 20:00 CET (Central European Time) for an aperitivo. Please RSVP using… read more about ISBA Social Event »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Statistical Advances in Data Linkage and Model Evaluation »
The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Exact Bayesian Inference for High-dimensional Latent Variable Stochastic Models with Complex, Discrete Structures »
The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Theory and Practice of Bayesian Methods in Inverse Problems and Related Nonparametric Models »
The Statistical Science Department encourages all to attend the defense of this dissertation. read more about Utilizing Network Structure to Flexibly Model Areal Data »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Online Change-point and Anomaly Detection for Complex and High-dimensional Data »
On Saturday, May 11th, 2024, from 4 to 6 p.m. in the Abele Academic Quad, we will celebrate the hard work and dedication of our 2024 graduates and their families with a diploma ceremony. Invitation… read more about Save the date for the 2024 Diploma Ceremony! »
By modeling documents as mixtures of topics, Topic Modeling allows the discovery of latent thematic structures within large text corpora, and has played an important role in natural language… read more about Sparse topic modeling via spectral decomposition and thresholding »
I discuss how one can use quantum circuits to accelerate multiproposal MCMC and point to promising avenues of future research, including quantum HMC, quantum-accelerated nonreversible MCMC and… read more about Quantum Markov chain Monte Carlo(s) »
In the talk I will present some of my recent works in the field of Adversarial Risk Analysis. In the first part I will talk about Adversarial Classification. In multiple domains such as malware… read more about Advances in Adversarial Risk Analysis »
Inverse scattering aims to infer information about a hidden object by using the received scattered waves and training data collected from forward mathematical models. Recent advances in computing… read more about Surrogate modeling and uncertainty quantification for inverse problems and dynamical systems »
The Department of Statistical Science and the StatSci Majors Union invite StatSci students and future majors to explore future data science career opportunities in financial consulting. Come… read more about Data Science in Financial Consulting: Network with 2nd Order Solutions »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Bayesian Predictive Decision Synthesis: Methodology and Applications »
The Statistical Science Department invites all to the defense of this dissertation. read more about Recent Advances on Cost-efficient Design, Analysis and Decision-making with Expensive Visual Experiments »
Tree-based methods are popular nonparametric tools for capturing spatial heterogeneity and making predictions in multivariate problems. In unsupervised learning, trees and their ensembles have also… read more about Bayesian trees and forests for unsupervised learning and their spatial adaptation properties »
The Statistical Science Department invites all to attend the defense of this dissertation. read more about Methodological Advances for Multi-Group Data »