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Bayesian Econometric Modelling for Big Data|Hang Qian

Bayesian Econometric Modelling for Big Data

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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

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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