NDLI: Additive models with spatio-temporal data

Content Provider	Springer Nature Link
Author	Fang, Xiangming Chan, Kung Sik
Copyright Year	2014
Abstract	Additive models (AMs) have been widely used in environmental, biological, and ecological studies. While the procedure for fitting an AM to independent data has been well established, the currently available methods for fitting AMs with correlated data are not completely satisfactory in practice. We propose a new approach based on penalized likelihood method to fit AMs for spatio-temporal data. Both maximum likelihood and restricted maximum likelihood estimation schemes are developed. Conditions for asymptotic posterior normality are investigated for the case with fixed spatial correlation structure and no temporal dependence. We also propose a new model selection criterion for comparing AMs with and without spatial correlation. The proposed methods are illustrated by both simulation study and real data analysis on the abundance distribution of Alaska plaice in eastern Bering Sea.
Starting Page	61
Ending Page	86
Page Count	26
File Format	PDF
ISSN	13528505
Journal	Environmental and Ecological Statistics
Volume Number	22
Issue Number	1
e-ISSN	15733009
Language	English
Publisher	Springer US
Publisher Date	2014-04-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Additive models Matérn model Maximum likelihood Penalized likelihood Restricted maximum likelihood Ecology Statistics Mathematical and Computational Biology Evolutionary Biology
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Environmental Science Statistics, Probability and Uncertainty

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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