Abstract: In this letter, we investigate channel estimation in integrated sensing and communication and propose a joint sparse Bayesian learning (JSBL) algorithm for the estimation of sensing and ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

Valerien Ismael is adamant his squad needs to be strengthened in January - and it could be crucial, says BBC Radio Lancashire ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...