A tantalizing gamma-ray signal at the heart of the Milky Way has revived one of physics’ most audacious hopes: that ...

An expert in computational linguistics, Dan Loehr gave a talk at Bowdoin on how AI is and can be used to address climate ...

Bayesian inference is a statistical method of inductive reasoning based on the reassessment of competing hypotheses in the presence of new evidence. Conceptually similar to the scientific method ...

This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Abstract: This article investigates two-player attack-defense (AD) games involving players with bounded rationality, where the defender aims to intercept the attacker, while the attacker aims to ...

Abstract: The nonlinear and stochastic relationship between noise covariance parameter values and state estimator performance makes optimal filter tuning a very challenging problem. Popular ...

To run the code you will need to install the correct packages in a computational environment. We have provided instructions below for common options. @book{martin_bap_2024, title = {Bayesian {Analysis ...

The use of statistics is ubiquitous in astronomy and astrophysics. Modern advances are made possible by the application of increasingly sophisticated tools, often dubbed "data mining", "machine ...