
Bayesian Econometric Modelling for Big Data
$189.24
- Hardcover
488 pages
- Release Date
20 June 2025
Summary
Taming Big Data: A Bayesian Econometrics Revolution
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, seamlessly integrating these scalable methods into a broad spectrum of econometric models.
In addition to its focus on big data, the book introduces novel concepts within traditional statistics, such as the summation, subtraction, and multipl…
Book Details
ISBN-13: | 9781032915258 |
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ISBN-10: | 1032915250 |
Series: | Chapman and Hall/CRC Series on Statistics in Business and Economics |
Author: | Hang Qian |
Publisher: | Taylor & Francis Ltd |
Imprint: | Chapman & Hall/CRC |
Format: | Hardcover |
Number of Pages: | 488 |
Release Date: | 20 June 2025 |
Weight: | 1.06kg |
Dimensions: | 234mm x 156mm |
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About The Author
Hang Qian
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.
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