No one ever said it was okay to remain a liberal arts fool.

Shifting truths and an updated world—what Bayesian inference teaches usWe often want to believe that an unshakable correct ...

The Lies of Generational Theory Exposed by Statistics—The Surprising Reason Why People in Their 60s Use MaaS

"Older generations are bad with new things." "Young people are easily adaptable to technology." These generational theories ...
Nature

Bayesian Methods for Robust Statistical Inference articles from across Nature Portfolio

Many would probably be content to use Bayesian methodology for hypothesis testing, if it was easy, objective and with trustworthy assumptions. The Bayesian information criterion and some simple bounds ...
Phys.org

Researchers develop Bayesian inference for hidden dependence structures in multi-group high-dimensional data

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 ...
BIOENGINEER

When Negative Trials Hide Real Benefits: Bayesian Probabilities Rethink Clinical Evidence

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

An Introduction to Bayesian Statistics

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 ...
San Francisco Fed

Bayesian Inference for Hospital Quality in a Selection Model

This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and non-random selection. Mortality rates in patient discharge records are widely ...