Bayesian Econometric Modelling for Big Data, 9781032915258
Hardcover
Big data, Bayesian methods: scalable solutions, numerical stability, econometric models.
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Bayesian Econometric Modelling for Big Data

$189.24

  • Hardcover

    488 pages

  • Release Date

    20 June 2025

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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
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
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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