National Bureau of Economic Research

Bayesian Inference in IV Regressions

It is well known that standard frequentist inference breaks down in IV regressions with weak instruments. Bayesian inference with diffuse priors suffers from the same problem. We show that the issue ...
Nature

Inference in Bayesian networks

How does one model a simple cell-signaling pathway? Consider a simple example consisting of a stimulant, an extracellular signal, an inhibitor of the signal, a G protein–coupled receptor, a G protein ...
Insurancenewsnet.com

Research from Towson University Provides New Study Findings on Risk Management (Bayesian Inference for the Loss Models via Mixture Priors): Insurance – Risk Management

2023 SEP 19 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- New research on risk management is the subject of a new report. According to news originating from Towson, ...
technologynetworks

An Introduction to Bayesian Statistics

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...