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Bilinear Mixed-Effects Models for Dyadic Data

Citations

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Cited by:

  1. Montes-Rojas Gabriel, 2022. "Subgraph Network Random Effects Error Components Models: Specification and Testing," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 17-34, January.
  2. Koen Jochmans, 2018. "Semiparametric Analysis of Network Formation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 705-713, October.
  3. Michael Braun & André Bonfrer, 2011. "Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes," Marketing Science, INFORMS, vol. 30(3), pages 513-531, 05-06.
  4. Tracy Sweet & Samrachana Adhikari, 2020. "A Latent Space Network Model for Social Influence," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 251-274, June.
  5. Peter D. Hoff, 2009. "Multiplicative latent factor models for description and prediction of social networks," Computational and Mathematical Organization Theory, Springer, vol. 15(4), pages 261-272, December.
  6. Steffen Nestler & Katharina Geukes & Roos Hutteman & Mitja D. Back, 2017. "Tackling Longitudinal Round-Robin Data: A Social Relations Growth Model," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 1162-1181, December.
  7. O’Malley, A. James & Paul, Sudeshna, 2015. "Using retrospective sampling to estimate models of relationship status in large longitudinal social networks," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 35-46.
  8. Sudeshna Paul & A. James O'Malley, 2013. "Hierarchical longitudinal models of relationships in social networks," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(5), pages 705-722, November.
  9. Adrian E. Raftery, 2017. "Comment: Extending the Latent Position Model for Networks," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1531-1534, October.
  10. Mark S. Handcock, 2017. "Comment," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1537-1539, October.
  11. Tiziana Casciaro & Miguel Sousa Lobo, 2015. "Affective Primacy in Intraorganizational Task Networks," Organization Science, INFORMS, vol. 26(2), pages 373-389, April.
  12. 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.
  13. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers 52/15, Institute for Fiscal Studies.
  14. Áureo de Paula, 2020. "Econometric Models of Network Formation," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 775-799, August.
  15. Finn, J.T. & Brownscombe, J.W. & Haak, C.R. & Cooke, S.J. & Cormier, R. & Gagne, T. & Danylchuk, A.J., 2014. "Applying network methods to acoustic telemetry data: Modeling the movements of tropical marine fishes," Ecological Modelling, Elsevier, vol. 293(C), pages 139-149.
  16. Eric A. Vance & Elizabeth A. Archie & Cynthia J. Moss, 2009. "Social networks in African elephants," Computational and Mathematical Organization Theory, Springer, vol. 15(4), pages 273-293, December.
  17. Murphy, James, 2020. "Explanatory Item Response Models for Dyadic Data from Multiple Groups," SocArXiv sx9um, Center for Open Science.
  18. Marchette, David J. & Priebe, Carey E., 2008. "Predicting unobserved links in incompletely observed networks," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1373-1386, January.
  19. ter Braak, Cajo J.F. & Kourmpetis, Yiannis & Kiers, Henk A.L. & Bink, Marco C.A.M., 2009. "Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3183-3193, June.
  20. Thomas Malang & Philip Leifeld, 2021. "The Latent Diffusion Network among National Parliaments in the Early Warning System of the European Union," Journal of Common Market Studies, Wiley Blackwell, vol. 59(4), pages 873-890, July.
  21. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
  22. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
  23. Brian Gin & Nicholas Sim & Anders Skrondal & Sophia Rabe-Hesketh, 2020. "A Dyadic IRT Model," Psychometrika, Springer;The Psychometric Society, vol. 85(3), pages 815-836, September.
  24. Tyler H. McCormick & Tian Zheng, 2015. "Latent Surface Models for Networks Using Aggregated Relational Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1684-1695, December.
  25. James Adams & Simon Weschle & Christopher Wlezien, 2021. "Elite Interactions and Voters’ Perceptions of Parties’ Policy Positions," American Journal of Political Science, John Wiley & Sons, vol. 65(1), pages 101-114, January.
  26. Minjeong Jeon & Ick Hoon Jin & Michael Schweinberger & Samuel Baugh, 2021. "Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 378-403, June.
  27. Xiao-Li Meng, 2016. "Discussion: Should a Working Model Actually Work?," International Statistical Review, International Statistical Institute, vol. 84(3), pages 362-367, December.
  28. repec:hal:spmain:info:hdl:2441/dpido2upv86tqc7td18fd2mna is not listed on IDEAS
  29. Jean-Jacques Daudin & Laurent Pierre & Corinne Vacher, 2010. "Model for Heterogeneous Random Networks Using Continuous Latent Variables and an Application to a Tree–Fungus Network," Biometrics, The International Biometric Society, vol. 66(4), pages 1043-1051, December.
  30. Daniele Durante & David B. Dunson & Joshua T. Vogelstein, 2017. "Nonparametric Bayes Modeling of Populations of Networks," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1516-1530, October.
  31. Peter R. Herman, 2022. "Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 127-179, February.
  32. Yingda Lu & Kinshuk Jerath & Param Vir Singh, 2013. "The Emergence of Opinion Leaders in a Networked Online Community: A Dyadic Model with Time Dynamics and a Heuristic for Fast Estimation," Management Science, INFORMS, vol. 59(8), pages 1783-1799, August.
  33. Dass, Mayukh & Fox, Gavin L., 2011. "A holistic network model for supply chain analysis," International Journal of Production Economics, Elsevier, vol. 131(2), pages 587-594, June.
  34. Steffen Nestler & Oliver Lüdtke & Alexander Robitzsch, 2022. "Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model," Journal of Educational and Behavioral Statistics, , vol. 47(2), pages 231-260, April.
  35. McMahon, James M. & Pouget, Enrique R. & Tortu, Stephanie, 2006. "A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3663-3680, August.
  36. Terrence D. Jorgensen & Aditi M. Bhangale & Yves Rosseel, 2024. "Two-Stage Limited-Information Estimation for Structural Equation Models of Round-Robin Variables," Stats, MDPI, vol. 7(1), pages 1-34, February.
  37. Paul, Sudeshna & Keating, Nancy L. & Landon, Bruce E. & O'Malley, A. James, 2014. "Results from using a new dyadic-dependence model to analyze sociocentric physician networks," Social Science & Medicine, Elsevier, vol. 117(C), pages 67-75.
  38. Sosa, Juan & Betancourt, Brenda, 2022. "A latent space model for multilayer network data," Computational Statistics & Data Analysis, Elsevier, vol. 169(C).
  39. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
  40. Dass, Mayukh & Kohli, Chiranjeev & Kumar, Piyush & Thomas, Sunil, 2014. "A study of the antecedents of slogan liking," Journal of Business Research, Elsevier, vol. 67(12), pages 2504-2511.
  41. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
  42. Amanda M. Y. Chu & Thomas W. C. Chan & Mike K. P. So & Wing-Keung Wong, 2021. "Dynamic Network Analysis of COVID-19 with a Latent Pandemic Space Model," IJERPH, MDPI, vol. 18(6), pages 1-22, March.
  43. Steffen Nestler & Oliver Lüdtke & Alexander Robitzsch, 2020. "Maximum likelihood estimation of a social relations structural equation model," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 870-889, December.
  44. Paul, Sudeshna & Keating, Nancy L. & Landon, Bruce E. & O’Malley, A. James, 2015. "Reprint of: Results from using a new dyadic-dependence model to analyze sociocentric physician networks," Social Science & Medicine, Elsevier, vol. 125(C), pages 51-59.
  45. repec:hal:wpspec:info:hdl:2441/dpido2upv86tqc7td18fd2mna is not listed on IDEAS
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