South China Find Shows The First Three Foot Giant

I first read Lulu Miller’s Why Fish Don’t Exist in 2024. Interspersed with her personal exploration of finding purpose, ...
PharmExec

Bringing the Bayesian Method to Clinical Trials: Q&A with Dr. Stacy Lindborg

In the announcement, FDA Commissioner Mackary said, “Bayesian methodologies help address two of the biggest problems of drug ...
GitHub

Be Bayesian my Friend 2.0.

The course is structured in four main parts, covering the full Bayesian workflow: from probabilistic reasoning to advanced modeling. BAYESIANLEARNING/ │ ├── PART-I/ │ ├── theory/ │ │ └── ...
GitHub

psoerensen/bayesian-linear-regression

This repository includes theoretical notes, slides, and hands-on R examples for exploring Bayesian Linear Regression. It introduces both classical and Bayesian regression methods, showing how to ...
IEEE

Experimental Demonstration of Stochastic Bayesian Inference Using Müller C-Elements

Abstract: Naïve Bayesian inference enables classification or prediction of an event given observations of potentially contradictory evidences, and is particularly intriguing in power-limited contexts ...
PNAS

Bayesian phylodynamic inference of population dynamics with dormancy

Dormancy is a widespread bet-hedging strategy across taxa, enabling organisms to survive natural and anthropogenic disturbances. It fundamentally alters eco-evolutionary processes, including ...
University of Arkansas

Mathematical Sciences Professor Part of Team Organizing Banff Workshop on Bayesian Inference

Sean Plummer, assistant professor of mathematics at the U of A, was part of an international team that organized a March workshop at Banff International Research Station for Mathematical Innovation ...
Scientific Research Publishing

Bayesian Inference Method for Stable Distributions ()

Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and finite second ...
IEEE

A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite ...

Abstract: In this work, we have developed a variational Bayesian inference theory of elasticity, which is accomplished by using a mixed Variational Bayesian inference Finite Element Method (VBI-FEM) ...