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A latent process model for time series of attributed random graphs

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  • N. Lee
  • C. Priebe

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  • N. Lee & C. Priebe, 2011. "A latent process model for time series of attributed random graphs," Statistical Inference for Stochastic Processes, Springer, vol. 14(3), pages 231-253, October.
    • Handle: RePEc:spr:sistpr:v:14:y:2011:i:3:p:231-253
    DOI: 10.1007/s11203-011-9058-y
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    References listed on IDEAS

    as
    1. Edward Scheinerman & Kimberly Tucker, 2010. "Modeling graphs using dot product representations," Computational Statistics, Springer, vol. 25(1), pages 1-16, March.
    2. Priebe, Carey E. & Park, Youngser & Marchette, David J. & Conroy, John M. & Grothendieck, John & Gorin, Allen L., 2010. "Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs," Computational Statistics & Data Analysis, Elsevier, vol. 54(7), pages 1766-1776, July.
    3. Carey E. Priebe & John M. Conroy & David J. Marchette & Youngser Park, 2005. "Scan Statistics on Enron Graphs," Computational and Mathematical Organization Theory, Springer, vol. 11(3), pages 229-247, October.
    4. Hoff P.D. & Raftery A.E. & Handcock M.S., 2002. "Latent Space Approaches to Social Network Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1090-1098, December.
    5. Edward R. Scheinerman & Kimberly Tucker, 2010. "Modeling graphs using dot product representations," Computational Statistics, Springer, vol. 25(1), pages 1-16, March.
    6. Peter W. Glynn & Ward Whitt, 1992. "The Asymptotic Efficiency of Simulation Estimators," Operations Research, INFORMS, vol. 40(3), pages 505-520, June.
    7. Mark S. Handcock & Adrian E. Raftery & Jeremy M. Tantrum, 2007. "Model‐based clustering for social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 301-354, March.
    8. Grothendieck, John & Priebe, Carey E. & Gorin, Allen L., 2010. "Statistical inference on attributed random graphs: Fusion of graph features and content," Computational Statistics & Data Analysis, Elsevier, vol. 54(7), pages 1777-1790, July.
    9. Liu, Xuefeng & Daniels, Michael J. & Marcus, Bess, 2009. "Joint Models for the Association of Longitudinal Binary and Continuous Processes With Application to a Smoking Cessation Trial," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 429-438.
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    Cited by:

    1. Bartolucci, Francesco & Marino, Maria Francesca & Pandolfi, Silvia, 2015. "Composite likelihood inference for hidden Markov models for dynamic networks," MPRA Paper 67242, University Library of Munich, Germany.
    2. Bartolucci, Francesco & Marino, Maria Francesca & Pandolfi, Silvia, 2018. "Dealing with reciprocity in dynamic stochastic block models," Computational Statistics & Data Analysis, Elsevier, vol. 123(C), pages 86-100.

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