Bayesian Econometric Modelling for Big Data
De:Qian, Hang
Contenu
This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer and subsampling techniques. The book is an essential resource for graduate students, early-career statisticians, data analysts, and statistical software users and developers.
Informations bibliographiques
juin 2025, env. 488 Pages, Chapman and Hall/CRC Series on Statistics in Business and Economics, Anglais
Taylor and Francis
978-1-032-91525-8