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Spatial Statistics And Computational Methods (lecture Notes In Statistics) by Petros Dellaportas, Gareth O. Roberts (auth.), Jesper Møller (eds.) is a nonfiction available to read on EtoBox.

What is Spatial Statistics And Computational Methods (lecture Notes In Statistics) about?

Spatial Statistics And Markov Chain Monte Carlo (mcmc) Techniques Have Each Undergone Major Developments In The Last Decade. Also, These Two Areas Are Mutually Reinforcing, Because Mcmc Methods Are Often Necessary For The Practical Implementation Of Spatial Statistical Inference, While New Spatial Stochastic Models In Turn Motivate The Development Of Improved Mcmc Algorithms. This Volume Shows How Sophisticated Spatial Statistical And Computational Methods Apply To A Range Of Problems Of Increasing Importance For Applications In Science And Technology. It Consists Of Four Chapters: 1. Petros Dellaportas And Gareth O. Roberts Give A Tutorial On Mcmc Methods, The Computational Methodology Which Is Essential For Virtually All The Complex Spatial Models To Be Considered In Subsequent Chapters. 2. Peter J. Diggle, Paulo J, Ribeiro Jr., And Ole F. Christensen Introduce The Reader To The Model- Based Approach To Geostatistics, I.e. The Application Of General Statistical Principles To The Formulation Of Explicit Stochastic Models For Geostatistical Data, And To Inference Within A Declared Class Of Models. 3. Merrilee A. Hurn, Oddvar K. Husby, And H?vard Rue Discuss Various Aspects Of Image

Who reads Spatial Statistics And Computational Methods (lecture Notes In Statistics)?

Author

Petros Dellaportas, Gareth O. Roberts (auth.), Jesper Møller (eds.)

Publisher

Springer-Verlag New York

Published

2003

Language

EN

ISBN

9781280187520

Category

nonfiction

Subjects

Anthropology, Mathematics, Social_sciences