This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

Technology is pushing us towards peak emissions faster than politics ever could. But what follows may be a years-long ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Abstract: The inversion of airborne electromagnetic (AEM) data suffers from severe nonuniqueness in the solution. Bayesian inference provides the means to estimate structural uncertainty with a rich ...

Abstract: A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs), improved Dempster-Shafer (D-S) evidence theory, and fuzzy Bayesian networks (BNs), acting as a ...

Bayesian Optimization in Action teaches you how to build Bayesian optimization systems from the ground up. This book transforms state-of-the-art research into usable techniques that you can easily put ...

‡ Collaborations Pharmaceuticals, Inc., 5616 Hilltop Needmore Road, Fuquay-Varina, North Carolina 27526, United States § Collaborations in Chemistry, 5616 Hilltop Needmore Road, Fuquay-Varina, North ...

This repository provides a software suite implementing Domain Elastic Transform (DET), Bayesian Coherent Point Drift (BCPD/GBCPD), and Dependent Landmark Drift (DLD), BCPD registers two point clouds, ...

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...