JSTOR Daily

A Sequential Point Process Model and Bayesian Inference for Spatial Point Patterns with Linear Structures

This is a preview. Log in through your library . Abstract We introduce a flexible spatial point process model for spatial point patterns exhibiting linear structures, without incorporating a latent ...
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 ...
The Next Platform

Using Bayesian Inference To Reverse Engineer Decades Of HPC

A collaboration including the University of Oxford, University of British Columbia, Intel, New York University, CERN, and the National Energy Research Scientific Computing Center is working to make it ...
mccormick.northwestern.edu

MLDS 490: Bayesian Methods for Inference and Decision Making

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...
Applied Clinical Trials Online

FDA Issues Draft Guidance to Advance Bayesian Methods in Clinical Trials

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...