Scalable Bayesian Spatial Analysis with Gaussian Markov Random Fields.

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Bibliographic Details
Superior document:Linköping Studies in Arts and Sciences Series ; v.790
:
Place / Publishing House:Linköping : : Linkopings Universitet,, 2020.
{copy}2020.
Year of Publication:2020
Edition:1st ed.
Language:English
Series:Linköping Studies in Arts and Sciences Series
Online Access:
Physical Description:1 online resource (66 pages)
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245 1 0 |a Scalable Bayesian Spatial Analysis with Gaussian Markov Random Fields. 
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300 |a 1 online resource (66 pages) 
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490 1 |a Linköping Studies in Arts and Sciences Series ;  |v v.790 
505 0 |a Intro -- POPULÄRVETENSKAPLIG SAMMANFATTNING -- ABSTRACT -- Acknowledgments -- Contents -- List of Figures -- 1 Introduction -- 2 Bayesian analysis of spatial data -- 3 Inference methods -- 4 Functional magnetic resonance imaging -- 5 Concluding remarks -- Bibliography -- Papers. 
588 |a Description based on publisher supplied metadata and other sources. 
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.  
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776 0 8 |i Print version:  |a Sidén, Per  |t Scalable Bayesian Spatial Analysis with Gaussian Markov Random Fields  |d Linköping : Linkopings Universitet,c2020 
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