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Journal of Computational and Graphical Statistics Volume 15, 2006 - Issue 1
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Primary Article

Conditionally Specified Space-Time Models for Multivariate Processes

Michael J Daniels Michael J. Daniels is an Associate Professor, Department of Statistics, University of Florida, Gainesville, FL 32611 . Zhigang Zhou is a Ph.D. Student, Department of Statistics, Iowa State University, Ames, IA 50011 . Hui Zou is an Assistant Professor, Department of Statistics, University of Minnesota, Minneapolis, MN 55455 .
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Zhigang Zhou Michael J. Daniels is an Associate Professor, Department of Statistics, University of Florida, Gainesville, FL 32611 . Zhigang Zhou is a Ph.D. Student, Department of Statistics, Iowa State University, Ames, IA 50011 . Hui Zou is an Assistant Professor, Department of Statistics, University of Minnesota, Minneapolis, MN 55455 .
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Hui Zou Michael J. Daniels is an Associate Professor, Department of Statistics, University of Florida, Gainesville, FL 32611 . Zhigang Zhou is a Ph.D. Student, Department of Statistics, Iowa State University, Ames, IA 50011 . Hui Zou is an Assistant Professor, Department of Statistics, University of Minnesota, Minneapolis, MN 55455 .
Pages 157-177 | Published online: 01 Jan 2012

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Richard A. Feinberg & Howard Wainer. (2011) Extracting Sunbeams From Cucumbers. Journal of Computational and Graphical Statistics 20:4, pages 793-810.
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Articles from other publishers (14)

Guillermo Ferreira, Jorge Mateu & Emilio Porcu. (2022) Multivariate Kalman filtering for spatio-temporal processes. Stochastic Environmental Research and Risk Assessment 36:12, pages 4337-4354.
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Leiwen Gao, Abhirup Datta & Sudipto Banerjee. (2022) Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping. Statistics in Medicine 41:16, pages 3057-3075.
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Mohamed Elkhouly & Marco A.R. Ferreira. (2021) Dynamic multiscale spatiotemporal models for multivariate Gaussian data. Spatial Statistics 41, pages 100475.
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Ying C. MacNab. (2018) Some recent work on multivariate Gaussian Markov random fields. TEST 27:3, pages 497-541.
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Jonathan R. Bradley, Scott H. Holan & Christopher K. Wikle. (2018) Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data (with Discussion). Bayesian Analysis 13:1.
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Harrison Quick, Lance A. Waller & Michele Casper. (2017) A multivariate space–time model for analysing county level heart disease death rates by race and sex. Journal of the Royal Statistical Society: Series C (Applied Statistics) 67:1, pages 291-304.
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Hamid Taheri Shahraiyni, Sahar Sodoudi, Andreas Kerschbaumer & Ulrich Cubasch. (2017) Re-construction of the shut-down PM10 monitoring stations for the reliable assessment of PM10 in Berlin using fuzzy modelling and data transformation. Environmental Monitoring and Assessment 189:3.
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Zhenzhen Zhang, Marie S. O'Neill & Brisa N. Sánchez. (2016) Using a latent variable model with non-constant factor loadings to examine PM 2.5 constituents related to secondary inorganic aerosols . Statistical Modelling 16:2, pages 91-113.
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Jonathan R. Bradley, Scott H. Holan & Christopher K. Wikle. (2015) Multivariate spatio-temporal models for high-dimensional areal data with application to Longitudinal Employer-Household Dynamics. The Annals of Applied Statistics 9:4.
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Marc G. Genton & William Kleiber. (2015) Cross-Covariance Functions for Multivariate Geostatistics. Statistical Science 30:2.
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Sujit Kumar SahuKhandoker Shuvo Bakar. (2012) Hierarchical Bayesian autoregressive models for large space–time data with applications to ozone concentration modelling. Applied Stochastic Models in Business and Industry 28:5, pages 395-415.
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Stephan R. Sain, Reinhard Furrer & Noel Cressie. (2011) A spatial analysis of multivariate output from regional climate models. The Annals of Applied Statistics 5:1.
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Christopher J. Paciorek, Jeff D. Yanosky, Robin C. Puett, Francine Laden & Helen H. Suh. (2009) Practical large-scale spatio-temporal modeling of particulate matter concentrations. The Annals of Applied Statistics 3:1.
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Alexandros Gryparis, Brent A. Coull, Joel Schwartz & Helen H. Suh. (2007) Semiparametric Latent Variable Regression Models for Spatiotemporal Modelling of Mobile Source Particles in the Greater Boston Area. Journal of the Royal Statistical Society Series C: Applied Statistics 56:2, pages 183-209.
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