CU Boulder News & Events

Bayesian Methods for Regression in R

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...
Medscape

FDA Changes Drug Trial Guidance: Experts Take Sides

The FDA has opened the door to the use of Bayesian statistical methods in clinical trials. The worry: Introducing ...
JSTOR Daily

Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies

Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff, Tor D. Wager, Lisa Feldman Barrett, Shir Atzil, Timothy D. Johnson, Thomas E. Nichols Journal of the ...
JSTOR Daily

Learning from a lot: Empirical Bayes for high-dimensional model-based prediction

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...
Investopedia

How to Use Bayesian Methods for Accurate Financial Forecasting

Daniel McNulty began writing for Investopedia in 2012. His work includes articles on financial analysis, asset allocation, and trading strategies. Marguerita is a Certified Financial Planner (CFP), ...
The Manila Times

BioStem Technologies Highlights Alignment with FDA’s Openness to Bayesian Statistical Approaches in Clinical Research

BioStem Technologies, Inc. (OTC: BSEM), a leading MedTech company focused on the development, manufacturing, and commercialization of perinatal tissue derived products for advanced wound care, today ...
CU Boulder News & Events

Bayesian Methods for Regression in R

We’ll discuss some basic concepts and vocabulary in Bayesian statistics such as the likelihood, prior and posterior distributions, and how they relate to Bayes’ Rule. R statistical software will be ...