A new study provides important insights into how T-cells, a type of immune cell, become activated. Researchers employed a technique called Bayesian metamodeling, which combines data from different ...

If we want to identify nations efficiently developing their sporting talent, we need to measure more than just total Olympic ...

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic ...

A Cornell statistician and his colleague have developed a revolutionary new method to analyze complex datasets ... is lead author of "Monte Carlo Inference for Semiparametric Bayesian Regression," ...

It relies on probability to assess how new evidence affects a hypothesis.,Bayesian methods are widely used in fields from ...

Free and fair elections are the foundation of a self-governing republic. Malfeasance is always a possibility, and proper security measures are of paramount importance.

A regression discontinuity analysis finds essentially no effect of 1 additional year of secondary education on brain structure in adulthood. This is a valuable finding that adds to the literature on ...

Compared to conventional methods that demand dense spatial sampling and lengthy ... posed inverse problem arising from high-coherent under-sampled NF data, a multitask Bayesian compressive sensing (MT ...

A bombshell investigation has revealed how a series of flaws with the design of the ill-fated $40 million Bayesian superyacht may have caused it to capsize and sink, leaving seven dead.

one of the tallest in the world. The seas were calm when the Bayesian, the $40 million superyacht of the British tech mogul Michael Lynch, dropped anchor off Sicily. It was a celebratory voyage.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

Under the Bayesian framework, the enhanced algorithm constructs a proposal distribution from a non-parametric distribution and employs support points for adaptive updating of the proposal distribution ...