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

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Knygos aprašymas

Several Important Topics In Spatial And Spatio-temporal Statistics Developed In The Last 15 Years Have Not Received Enough Attention In Textbooks. This Book Aims To Fill Some Of 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-- Provided By Publisher.

Informacija

Autorius: Marco A. R. Ferreira
Leidėjas: Chapman and Hall/CRC
Išleidimo metai: 2024
Knygos puslapių skaičius: 280
ISBN-13: 9781032622095
Formatas: Knyga kietu viršeliu
Kalba: Anglų

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