Among the books in my 'to-read' pile that I don't remember when I added, there was a book called 'The Grand Unified Theory of ...

In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...

A Bayesian re-analysis of hundreds of published clinical trials shows that statistically negative studies can hide strong ...

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 ...

Researchers have fused FMEA, Bayesian networks, risk matrices, and fuzzy evaluation into a single validated framework that cut the failure risk of drilling permanent magnet synchronous motors and ...