Hierarchical Modeling and Analysis for Spatial Data (Chapman & Hall/Crc Monographs on Statistics and Applied Probability) - Hardcover

Banerjee, Sudipto; Gelfand, Alan E.; Carlin, Bradley P.

Hardcover

ISBN 10: 1032508558 ISBN 13: 9781032508559

Verlag: Chapman and Hall/CRC, 2025

Inhaltsangabe

The 3rd edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data presents a comprehensive presents a comprehensive and up-to-date treatment of hierarchical and multilevel modeling for spatial and spatio-temporal data within a Bayesian framework.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 1032508558
• ISBN 13: 9781032508559
• Einband: Gebundene Ausgabe
• Auflage: 3
• Anzahl der Seiten: 700
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Logos Europe; contact@logoseurope.eu; ; 9 Rue Nicolas Possin; La Rochelle; 17000; Frankreich