Passing‐yielding intention estimation during lane change conflict: A semantic‐based Bayesian inference method

Bayesian Estimation of TraÆ Lane State

Estimation with Bayesian Inference

A probabilistic technique for the joint estimation of background and sources in high-energy astrophysics is described. Bayesian inference is applied to gain insight into the coexistence of background and sources through a probabilistic two-component mixture model, which provides consistent uncertainties of background and sources. The present analysis is applied on ROSAT PSPC data in Survey Mode...

Generalized Bayesian inference under prior-data conflict

xiii

Bayesian change point estimation in Poisson-based control charts

Precise identification of the time when a process has changed enables process engineers to search for a potential special cause more effectively. In this paper, we develop change point estimation methods for a Poisson process in a Bayesian framework. We apply Bayesian hierarchical models to formulate the change point where there exists a step < /div> change, a linear trend and a known multip...

Bayesian Estimation and Inference: A User’s Guide

This paper introduces the " Bayesian revolution " that is sweeping across multiple disciplines but has yet to gain a foothold in organizational research. The foundations of Bayesian estimation and inference are first reviewed. Then, two empirical examples are provided to show how Bayesian methods can overcome limitations of frequentist methods: (a) a structural equation model of testosterone's ...