IEEE

Bayesian Procedures for Modeling Truck Route Choices

Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...
eLife

Hierarchical Bayesian modeling of multiregion brain cell count data

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...
The New York Times

21 Ways People Are Using A.I. at Work

A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...
C&EN

Bayesian Model Revealing Segment-Scale Elemental Flux, Doubled CO

State Key Laboratory of Geomicrobiology and Environmental Changes, China University of Geosciences (Beijing), Beijing 100083, China Institute of Earth Sciences, China University of Geosciences ...
Frontiers

Toward interpretable expected goals modeling using Bayesian mixed models

Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...
Frontiers

Bayesian modeling with locally adaptive prior parameters in small animal imaging

1 Department of Statistics, School of Mathematics, University of Leeds, Leeds, United Kingdom 2 Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of ...
IEEE

Optimization of Bayesian Statistical Model Based on Deep Learning

Abstract: This paper investigates the optimization of Bayesian statistical models using deep learning techniques. We introduce the theoretical basis of Bayesian models and deep learning, and propose a ...