Hierarchical Modeling and Analysis for Spatial Data

Author:   Sudipto Banerjee (University of California Los Angeles) ,  Alan E. Gelfand (Duke University, Durham, North Carolina) ,  Bradley P. Carlin
Publisher:   Taylor & Francis Ltd
Edition:   3rd edition
ISBN:  

9781032508559


Pages:   679
Publication Date:   22 September 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Hierarchical Modeling and Analysis for Spatial Data


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Author:   Sudipto Banerjee (University of California Los Angeles) ,  Alan E. Gelfand (Duke University, Durham, North Carolina) ,  Bradley P. Carlin
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Edition:   3rd edition
Weight:   1.460kg
ISBN:  

9781032508559


ISBN 10:   1032508558
Pages:   679
Publication Date:   22 September 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Alan E. Gelfand is The James B Duke Professor Emeritus of Statistical Science at Duke University. He also enjoys a secondary appointment as Professor of Environmental Science and Policy in the Nicholas School. Author of more than 330 papers and 6 books, Gelfand is internationally known for his contributions to applied statistics, Bayesian computation and Bayesian inference. For the past thirty years, Gelfand’s primary research focus has been in the area of statistical modeling for spatial and space-time data. He has advanced methodology, using the Bayesian paradigm, to associate fully model-based inference with spatial and space-time data. His chief areas of application include spatio-temporal environmental and ecological processes. Sudipto Banerjee is Professor of Biostatistics and Senior Associate Dean for Academic Programs in the Fielding School of Public Health at the University of California, Los Angeles (UCLA). He holds joint appointments as a Professor in the UCLA Department of Statistics and Data Science and as an Affiliate faculty in the UCLA Institute of Environment and Sustainability. Banerjee has authored over 200 research articles, 2 textbooks, 2 committee reports for the National Research Council of the National Academies, and an edited handbook on spatial epidemiology. Banerjee is well-known for his research expertise and methodological advancements in Bayesian hierarchical modeling and inference for spatial-temporal data; theoretical and computational developments for Gaussian processes; environmental processes and their impact on public health; spatial epidemiology; stochastic process models; statistical learning from physical and mechanistic systems; survey sampling and survival analysis.

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