Hang Qian

eBook, ePUB

Bayesian Econometric Modelling for Big Data (eBook, ePUB)

Beschreibung

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.

Technische Details

• Geräte: eReader
• mit Kopierschutz
• Größe: 2.24MB

Barrierefreiheit

• Text-to-Speech

Autor

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.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 20. Juni 2025
• Englisch
• ISBN-13: 9781040349618
• Artikelnr.: 74337016