IEEE

Fast Bayesian Estimation Using Location-Type Variational Representations

Abstract: A class of iterative Bayesian estimation methods known as Type I methods use a variational representation of the posterior distribution. However, Type I methods can exhibit slow convergence ...
RAPS

This Week at FDA: Reactions to FDA’s Bayesian methods guidance, GDUFA science report, and more

Welcome to another installment of This Week at FDA, your weekly source for updates – big and small – on FDA, drug, and medical device regulation and what we’re reading from around the web. This week, ...
IEEE

Variational Bayesian Multi-Source Localization in Complex Multipath Environments

Abstract: Radiation source (RS) localization is crucial in electromagnetic environmental monitoring. Existing methods require prior knowledge of the environment and have overlooked the impact of ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
GitHub

Bayesian Inference of Species Networks

Outline In this tutorial I am going to present the use of SpeciesNetwork (Zhang et al. 2017), which is implemented as an add-on package for BEAST2 (Bouckaert et al. 2019) and allows the joint Bayesian ...
GitHub

Bayesian Species-Tree Inference

Bayesian species-tree inference with StarBeast3 In this part of the tutorial, we are going to use the multi-species-coalescent model implementation of StarBeast3 (Douglas et al. 2022) to estimate a ...