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Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Arts and Sciences.
Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Arts and Sciences. Stockholm Univ, Sweden.
2018 (English)In: Bayesian Analysis, ISSN 1936-0975, E-ISSN 1931-6690, Vol. 13, no 4, p. 1291-1297Article in journal, Editorial material (Other academic) Published
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Place, publisher, year, edition, pages
Durham, NC, United States: International Society for Bayesian Analysis , 2018. Vol. 13, no 4, p. 1291-1297
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Probability Theory and Statistics
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URN: urn:nbn:se:liu:diva-153689DOI: 10.1214/18-BA1108ISI: 000453033900003OAI: oai:DiVA.org:liu-153689DiVA, id: diva2:1281091
Note

Funding Agencies|Swedish Research Council (Vetenskapsradet) [20135229]

Artikeln ingår som en del i: Bayesian Spatiotemporal Modeling Using Hierarchical Spatial Priors, with Applications to Functional Magnetic Resonance Imaging (with Discussion) 13(4) pp 1261-1313.

Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-02-01Bibliographically approved

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