Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Small biotech companies encounter significant challenges in designing and implementing clinical development programmes. These companies have an even lower rate of success than that of large, ...

Abstract: An exploit of the sequential importance sampling (SIS) algorithm using differential algebra techniques is derived to develop an efficient particle filter. The filter creates an original kind ...

Creativity is notoriously difficult to study as it unfolds, but musical improvisation offers a rare chance to watch spontaneous idea-generation in action.

The institute Fried is founding at Reichman University will explore more than direct brain stimulation and hybrid brains. "We’re bringing together people from different disciplines to examine all ...

Clinical practice guidelines were developed to inform health providers of best practices for the management of sacroiliac joint complex pain.

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...