Google's marketing mix model platform, Meridian, is now open-source, aiming to help businesses measure marketing performance ...

In early phase trials innovative designs offer potential for improvements in efficiency and decision-making. Determining the ...

Anonymity serves as a cornerstone of democratic life, ensuring freedom of expression and safeguarding digital rights. It ...

Abstract: This paper introduces a Bayesian framework for image inversion by deriving a probabilistic counterpart to the regularization-by-denoising (RED) paradigm. It additionally implements a Monte ...

This repository features a machine learning project utilizing the Pima Indians Diabetes Dataset to predict diabetes risk. It explores data preprocessing, model training, and evaluation using ...

Enhanced models that incorporate additional parameters, such as temporal changes in datasets or adversarial behavior, can ...

We recently compiled a list of the 10 Important AI News and Ratings for Today. In this article, we are going to take a look ...

Perform Bayesian Cost-Effectiveness Analysis in R. This is the official (CRAN) version of the R package BCEA. It is now release 2.4-7. 🚀 Version 2.4-8 in development now! Check out the release notes ...

The tutorial is organized in three parts. First, we provide a basic introduction to Bayesian network meta-analysis and the concepts in the underlying model. Second, we discuss how to conduct the ...