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Chapman and Hall/CRC Modeling Spatio-Temporal Data Textbook

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Description

Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and Multiscale Models addresses a significant gap in current statistical literature. While spatial and spatio-temporal statistics have advanced rapidly over the last 15 years, many recent developments are missing from standard textbooks. This book provides a comprehensive overview of modern approaches for analyzing complex datasets. Readers will explore specialized topics including proper Gaussian Markov random fields, dynamic multiscale spatio-temporal models, and the use of objective priors. Published by Chapman and Hall/CRC, this text is designed to make advanced statistical methodologies more accessible for those working with spatial and spatio-temporal data analysis.

Key Features

Covers advanced topics in spatial and spatio-temporal statistics developed over the last 15 years.

Provides detailed overviews of proper Gaussian Markov random fields for data analysis.

Includes information on dynamic multiscale spatio-temporal models.

Explains the application of objective priors for spatial and spatio-temporal models.

Published by Chapman and Hall/CRC to bridge the gap in existing statistical textbooks.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 November 2024
Listed Since
06 June 2024

Barcode

No barcode data available

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