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Bayesian Econometric Modelling for Big Data

By Hang Qian

Bayesian Econometric Modelling for Big Data

By Hang Qian

0 - Default Title
Description
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.
Product details
Edition:
1
Number of Pages:
488
Release Date:
2025-06-20
Publication Date:
2025-06-19
Publisher:
Chapman and Hall/CRC
Languages:
Original: English
ISBN10:
1032915250
ISBN13:
9781032915258
Weight:
1104 g
Height:
183 cm
Width:
260 cm
Thickness:
31 cm
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