PirateBay Download | fearnhead p scalable monte carlo bayesian learning 2025

fearnhead p scalable monte carlo bayesian learning 2025

Type:: E-books
Files:: 1
Size:: 11.4 MB
Uploaded On:: June 8, 2025, 8:54 a.m.
Added By:: andryold1
Seeders:: 1
Leechers:: 1
Info Hash:: 9F648ACD47F89CC75A6B6D7487304CA49D4CEF31

Textbook in PDF format A graduate-level introduction to advanced topics in Markov chain Monte Carlo (MCMC), as applied broadly in the Bayesian computational context. The topics covered have emerged as recently as the last decade and include stochastic gradient MCMC, non-reversible MCMC, continuous time MCMC, and new techniques for convergence assessment. A particular focus is on cutting-edge methods that are scalable with respect to either the amount of data, or the data dimension, motivated by the emerging high-priority application areas in machine learning and AI. Examples are woven throughout the text to demonstrate how scalable Bayesian learning methods can be implemented. This text could form the basis for a course and is sure to be an invaluable resource for researchers in the field

Get This Torrent

Fearnhead P. Scalable Monte Carlo for Bayesian Learning 2025.pdf 11.4 MB

Details for: Fearnhead P. Scalable Monte Carlo for Bayesian Learning 2025

fearnhead p scalable monte carlo bayesian learning 2025

Similar Posts: