{
"item_title" : "Bayesian Econometric Modelling for Big Data",
"item_author" : [" Hang Qian "],
"item_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.",
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781032915258
- ISBN-10: 1032915250
- Publisher: CRC Press
- Publish Date: June 2025
- Dimensions: 10 x 7 x 1.06 inches
- Shipping Weight: 2.33 pounds
- Page Count: 466
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