Bayesian Econometric Modelling for Big Data

Qian, Hang

ISBN 10: 1032915250 / ISBN 13: 9781032915258

Edité par Chapman and Hall/CRC, 2025

A propos de cet article

N° de réf. du vendeur 18403546151

Détails bibliographiques

• Titre: Bayesian Econometric Modelling for Big Data
• Éditeur: Chapman and Hall/CRC
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 1032915250
• ISBN à 13 chiffres: 9781032915258
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Hang Qian is the principal engineer of the Econometrics Toolbox for MATLAB and has been dedicated to statistical software development at MathWorks since 2012. He earned his PhD in economics, specializing in Bayesian statistics, big data analysis, and computational finance. His research has been published in journals such as Bayesian Analysis, Journal of Business & Economic Statistics, and Journal of Econometrics.