Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio�-temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R-INLA, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations

About the Author

Marta Blangiardo, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, UK

Michela Cameletti, Department of Management, Economics and Quantitative Methods, University of Bergamo, Italy

"About this title" may belong to another edition of this title.

Store Description

We specialise in General Interest Books from South Asian countries.

Visit Seller's Storefront

Seller's business information

BOOKS AND PERIODICALS AGENCY LTD
90 Barnet Gate Lane, Barnet, EN5 2AX, United Kingdom

Sale & Shipping Terms

Terms of Sale

Returns accepted if you are not satisfied with the Service or Book.

Shipping Terms

Best packaging and fast delivery

Shipping rates from United Kingdom to U.S.A.

Shipping rates from United Kingdom to U.S.A.
Order quantity	14 to 45 business days	5 to 10 business days
First item	US$ 8.89	US$ 13.47

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.