Introduction Reducing adolescent childbearing is essential for improving sexual and reproductive health and the social and ...

Chair says Bayesian manufacturer’s legal challenge against Mike Lynch’s estate is ‘very specific to one shipbuilder’ ...

The field of livestock genomics has experienced remarkable progress over the past two decades, ushering in a new era of data-driven breeding practices.

Bayesian methods are becoming an increasingly popular approach to data analysis across a wide range of research fields. They offer a flexible and structured framework for statistical inference, ...

This 4 day course introduces academics and professional data analysts to Bayesian inference, using the Stan interface in R. The atmosphere of the workshop will be friendly and supportive, with the ...

This self-paced Introduction to Bayesian Network course provides a comprehensive introduction to the theory and practical applications of this powerful tool. Whether you're a complete beginner or have ...

Ultraintense lasers are a key technology behind multiple transformative technologies such as laser-driven particle acceleration or inertial confinement fusion. To date, characterization of these ...

This course focuses on the principles of Bayesian analysis with the aim to enable participants to apply Bayesian methods on their own research and understand other people's results via Bayesian ...

Introduction Dexmedetomidine is a promising pharmaceutical strategy to minimise opioid use during surgery. Despite its growing use, it is uncertain whether dexmedetomidine can improve patient-centred ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...