… ZAMAN, EB FOX AND ET BRADLOW … Our data set consists of 52 different tweets which
were selected through manual exploration of Twitter and are available in the supplemental …

Many breast cancers exhibit a degree of dependence on estrogen for tumor growth.
Although several therapies have been developed to treat individuals with estrogen-dependent …

Many recent Markov chain Monte Carlo (MCMC) samplers leverage continuous dynamics to
define a transition kernel that efficiently explores a target distribution. In tandem, a focus has …

We consider the problem of speaker diarization, the problem of segmenting an audio recording
of a meeting into temporal segments corresponding to individual speakers. The problem …

Many complex dynamical phenomena can be effectively modeled by a system that switches
among a set of conditionally linear dynamical modes. We consider two such models: the …

Hamiltonian Monte Carlo (HMC) sampling methods provide a mechanism for defining distant
proposals with high acceptance probabilities in a Metropolis-Hastings framework, enabling …

A biofilm is an organized, resilient group of microbes in which individual cells acquire
properties, such as drug resistance, that are distinct from those observed in suspension cultures. …

This article investigates the intertwined constructs of metacognition and self-regulation as
they emerge in the works and theories of James, Piaget, and Vygotsky. To coordinate this …

One of the challenges in machine learning research is to ensure that presented and
published results are sound and reliable. Reproducibility, that is obtaining similar results as …

Introduced more than a half-century ago, Granger causality has become a popular tool for
analyzing time series data in many application domains, from economics and finance to …