Handbook Of Markov Chain Monte Carlo 〈100% FAST〉

: The second half features diverse case studies across fields such as astrophysics , ecology , sociology , and brain imaging , demonstrating how MCMC solves realistic scientific problems. Key Features of the 2nd Edition

The is a definitive reference for developers and practitioners in the field of statistical computing. Edited by a "world-class" team including Steve Brooks , Andrew Gelman , Galin Jones , and Xiao-Li Meng , it serves as a successor to earlier foundational texts, providing a modern, comprehensive look at MCMC technology. Core Structure and Content Handbook of Markov Chain Monte Carlo

A revised second edition, featuring new editors and Dootika Vats , reflects the rapid evolution of the field since 2011: : The second half features diverse case studies