Bayesian modeling and analysis for gradients in spatiotemporal processes

Journal article

Open access

Peer reviewed

Harrison Quick, Sudipto Banerjee and Bradley P. Carlin

Biometrics, v 71(3), pp 575-584

Sep 2015

PMID: 25898989

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url

https://europepmc.org/articles/pmc4575262View

Gaussian process

Gradients

Markov chain Monte Carlo

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8 citations in Scopus

Title: Bayesian modeling and analysis for gradients in spatiotemporal processes
Creators: Harrison Quick - National Center for Chronic Disease Prevention and Health Promotion
Sudipto Banerjee - University of California, Los Angeles
Bradley P. Carlin - University of Minnesota
Publication Details: Biometrics, v 71(3), pp 575-584
Publisher: Blackwell Publishing Ltd
Number of pages: 10
Resource Type: Journal article
Language: English
Academic Unit: Epidemiology and Biostatistics
Web of Science ID: WOS:000361527000002
Scopus ID: 2-s2.0-84941733134
Other Identifier: 991020100087704721

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Collaboration types: Domestic collaboration
Web of Science research areas: Biology; Mathematical & Computational Biology; Statistics & Probability