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Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and

Description: Several important topics in spatial and spatio-temporal statistics developed in the last 15 years have not received enough attention in textbooks. Modeling Spatio-Temporal Data: Markov Random Fields, Objectives Bayes, and Multiscale Models aims to fill this gap by providing an overview of a variety of recently proposed approaches for the analysis of spatial and spatio-temporal datasets, including proper Gaussian Markov random fields, dynamic multiscale spatio-temporal models, and objective priors for spatial and spatio-temporal models. The goal is to make these approaches more accessible to practitioners, and to stimulate additional research in these important areas of spatial and spatio-temporal statistics. Key topics:Proper Gaussian Markov random fields and their uses as building blocks for spatio-temporal models and multiscale models.Hierarchical models with intrinsic conditional autoregressive priors for spatial random effects, including reference priors, results on fast computations, and objective Bayes model selection.Objective priors for state-space models and a new approximate reference prior for a spatio-temporal model with dynamic spatio-temporal random effects.Spatio-temporal models based on proper Gaussian Markov random fields for Poisson observations.Dynamic multiscale spatio-temporal thresholding for spatial clustering and data compression.Multiscale spatio-temporal assimilation of computer model output and monitoring station data.Dynamic multiscale heteroscedastic multivariate spatio-temporal models.The M-open multiple optima paradox and some of its practical implications for multiscale modeling.Ensembles of dynamic multiscale spatio-temporal models for smooth spatio-temporal processes. The audience for this book are practitioners, researchers, and graduate students in statistics, data science, machine learning, and related fields. Prerequisites for this book are master's-level courses on statistical inference, linear models, and Bayesian statistics. This book can be used as a textbook for a special topics course on spatial and spatio-temporal statistics, as well as supplementary material for graduate courses on spatial and spatio-temporal modeling.

Price: 183 AUD

Location: Hillsdale, NSW

End Time: 2025-01-30T06:04:14.000Z

Shipping Cost: 31.08 AUD

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Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, andModeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and

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EAN: 9781032622095

UPC: 9781032622095

ISBN: 9781032622095

MPN: N/A

Format: Hardback, 288 pages

Author: Marco A. R. Ferreira (Edited by)

Item Height: 1.8 cm

Item Length: 23.4 cm

Item Weight: 0.7 kg

Item Width: 15.6 cm

Language: Eng

Publication Name: N/A

Publisher: Chapman & Hall/CRC

Type: N/A

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