Seminars

Conformal prediction is a popular technique for constructing prediction intervals with distribution-free coverage guarantees. The coverage is marginal, holding on…

Sampling is one of the most fundamental problems in computational inference. Beyond Bayesian statistics, it has numerous applications in modern…

Datasets are central to the development of statistical learning theory, and the evolution of models. The burgeoning success of modern…

The modern retailing system is witnessing fast updating in product features and customer behaviors, entailing adaptive policies that can effectively…

Response time is readily available in computer-based discrete choice experiments, and the emergence of webcam-based eye-tracking will soon enable the…

We study the problem of distribution-free dependence detection and modeling through the new framework of binary expansion statistics (BEStat). The…

The strong law for independent and identically distributed random variables with finite variance is the intersection of Kolmogorov (1930) and…

Limited information goodness-of-fit (LIGOF) tests are increasingly recognized for their application in high-dimensional multivariate categorical data analysis. LIGOF tests address…

Time series experiments, in which experimental units receive a sequence of treatments over time, are prevalent in technological companies, including…

Functional connectivity represents brain network interactions and is fundamental to the translation of neural structure to brain function. While multiple…