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 ...

The model provides access to Google's MMM Data Platform, which offers core data such as impressions, clicks, and costs, as ...

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 ...

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

Enhanced models that incorporate additional parameters, such as temporal changes in datasets or adversarial behavior, can improve predictions. Combining insights from privacy, AI ethics, and ...

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 ...

Addressing these challenges, this paper introduces a Bayesian Reinforcement Learning (BRL)-based approach ... Secondly, it employs a practical IRS control model that optimizes the effective ...