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Statistical Agent-Based Models for Discrete Spatio-Temporal Systems

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  • Hooten, Mevin B.
  • Wikle, Christopher K.

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  • Hooten, Mevin B. & Wikle, Christopher K., 2010. "Statistical Agent-Based Models for Discrete Spatio-Temporal Systems," Journal of the American Statistical Association, American Statistical Association, vol. 105(489), pages 236-248.
    • Handle: RePEc:bes:jnlasa:v:105:i:489:y:2010:p:236-248
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    Cited by:

    1. Stanaway, M.A. & Reeves, R. & Mengersen, K.L., 2011. "Hierarchical Bayesian modelling of plant pest invasions with human-mediated dispersal," Ecological Modelling, Elsevier, vol. 222(19), pages 3531-3540.
    2. Patrick L. McDermott & Christopher K. Wikle & Joshua Millspaugh, 2017. "Hierarchical Nonlinear Spatio-temporal Agent-Based Models for Collective Animal Movement," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(3), pages 294-312, September.
    3. Mevin B. Hooten & Ruth King & Roland Langrock, 2017. "Guest Editor’s Introduction to the Special Issue on “Animal Movement Modeling”," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(3), pages 224-231, September.
    4. Courgeau, Daniel, 2012. "Probability and social science : methodologial relationships between the two approaches ?," MPRA Paper 43102, University Library of Munich, Germany.
    5. Andrew Hoegh & Frank T. Manen & Mark Haroldson, 2021. "Agent-Based Models for Collective Animal Movement: Proximity-Induced State Switching," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(4), pages 560-579, December.
    6. Lili Zhuang & Noel Cressie, 2014. "Bayesian hierarchical statistical SIRS models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(4), pages 601-646, November.

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