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Using R for bayesian spatial and spatio-temporal health modeling / Andrew B. Lawson

By:

Lawson, Andrew B

Material type: Text

TextSeries: The R SeriesPublication details: Boca Raton CRC Press 2021Description: 283pISBN:

9780367760670

Subject(s):

DDC classification:

610.21 LaW-A

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode	Item holds
Books	BITS Pilani Hyderabad	610	General Stack (For lending)	610.21 LaW-A (Browse shelf(Opens below))	GBP 45.90	Available		49612

Total holds: 0

The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science

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