In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Over the last two decades, there has been an increasing interest in survey data collection monitoring, analysis, and intervention or adaptation. This paper presents a Bayesian framework to include and ...

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...

Dr. James McCaffrey of Microsoft Research shows how to predict a person's sex based on their job type, eye color and country of residence. Naive Bayes classification is a classical machine learning ...

Le Quang Dung, a gold medalist at the 2017 International Mathematical Olympiad, has co-authored the first paper in a series of studies tackling a major unsolved problem in Bayesian nonparametrics that ...