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 ...

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 ...

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 ...