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Chapman and Hall/CRC Bayesian Econometric Modelling for Big Data - Chapman and Hall/CRC

Amazon

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£119.99 £103.50 £107.10 £110.70 £114.29 £117.89 £121.49 28 July 2026 14 August 2026 01 September 2026 19 September 2026 07 October 2026
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Description

This comprehensive guide presents scalable Bayesian statistical methods engineered to handle the complexity of big data analysis. The book systematically explores divide-and-conquer and subsampling techniques, integrating them across a broad range of econometric models to deliver practical solutions for large-scale data challenges. Beyond big data applications, it introduces innovative approaches to traditional statistics, including novel arithmetic operations on conjugate distributions that reframe pseudo data, sufficient statistics, and likelihood estimation in new ways. Ideal for econometricians, statisticians, and data scientists working with complex datasets, this resource bridges theoretical foundations with applied methodologies for modern analytical work.

Key Features

Scalable Bayesian statistical methods specifically designed to address computational challenges in big data econometric analysis.

Divide-and-conquer and subsampling techniques integrated throughout multiple econometric model types for flexible application.

Novel arithmetic operations on conjugate distributions introduce fresh perspectives on pseudo data and sufficient statistics.

Chapman and Hall/CRC publication ensures rigorous academic standards and peer-reviewed content for professional reference.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 June 2025
Listed Since
26 November 2024

Barcode

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