Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...

MSD has signed an agreement with Variational AI to use its generative AI (genAI) platform Enki in the discovery of new small-molecule medicines. Vancouver, Canada-based Variational – which emerged in ...

This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical ...

Abstract: As smart grids transition toward intelligence and decarbonization, their growing complexity demands advanced solutions for uncertainty quantification, real-time processing, and multi-modal ...

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 ...

As a small business owner, Liz understands the unique challenges entrepreneurs face. Well-versed in the digital landscape, she combines real-world experience in website design, building e-commerce ...

In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...

An experimental project which implemented the Bayesian structured time series (BSTS) model using Langevin-gradients parallel tempering. Markov chain Monte Carlo (MCMC) methods were implemented in a ...