Bayesian models are more frequently used and can be more flexible but require checking additional assumptions and greater statistical expertise that are often ignored. The present paper describes the ...

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan ...

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

Certain classes of Bayesian hierarchical models have shown to be particularly useful in such contexts. Bayesian approaches are strongly connected to statistical computational methods, and in ...

Google's open-source marketing mix model (MMM) promises to modernise campaign performance for brands and ad agencies. But ...

From general LLMs to models trained on domain-specific data, these systems can analyze information, answer questions 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 ...

Computer scientists at the Oxford Internet Institute, Imperial College London, and UCLouvain have developed a new mathematical model based on the Pitman-Yor process, a Bayesian statistical ...

We aim to build confidence in the safety and reliability of payment service providers’ services while protecting end users from specific risks. We’re taking steps to better understand the impacts of ...

Innovative Approach Combines Advanced Data Modeling, Fixed CPA Guarantees, and Scalable Solutions Venice, California, Feb. 03, 2025 (GLOBE NEWSWIRE) -- AUDIENCEX, a leader in media buying innovation, ...