News

Bayesian learning boosts gene research accuracy
Researchers at The University of Texas at Arlington have developed a new computational tool that helps scientists pinpoint ...
IEEE3mon
Approximate Bayesian Computation for a Dual-Failure-Modes Models and Its Application to Failure Times Data
Abstract: In this study, comprehensive approximate Bayesian computation (ABC) technique is explored, and develop for an innovative model. We practically demonstrate approximate Bayesian computation ...
eLife6mon
Hierarchical Bayesian modeling of multi-region brain cell count data
Our workflow uses a horseshoe prior, along with the partial pooling, this allows our model to deal effectively with outliers. Furthermore, for the data sizes presented here, a full Bayesian inference ...
Frontiers1y
Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo
The current work introduces a novel combination of two Bayesian tools, Gaussian Processes (GPs), and the use of the Approximate Bayesian Computation (ABC ... then one can infer model hyperparameters ...
The Earth Institute Columbia University1y
Bayesian Modeling for Environmental Health Workshop
The Bayesian Modeling for Environmental Health Workshop is a two-day intensive course of seminars and hands-on analytical sessions to provide an approachable and practical overview of concepts, ...
scienceopen.com2y
Bayesian neural networks via MCMC: a Python-based tutorial
This tutorial provides code in Python with data and instructions that enable their use and extension. We provide results for some benchmark problems showing the strengths and weaknesses of ...