Dr Johan KoskinenPhD Contact Details
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Current projectMissing data in Social Network Analysis - Inferences from incomplete network data, funded by the Defence Science and Technology Organisation (DSTO) Research InterestsBayesian methods in Social Science Publications and ManuscriptsKoskinen, J., Wang, P., Robins, G. L., and Pattison, P. E., (2008). Extreme Actors - Outliers and Influential Observations in exponential random graph (p-star) models. MelNet Social Networks Laboratory Technical Report 08-05, Department of Psychology, School of Behavioural Science, University of Melbourne, Australia (pdf). Koskinen, J. H., Robins, G. L., and Pattison, P. E., (2008). Analysing Exponential Random Graph (p-star) Models with Missing Data Using Bayesian Data Augmentation. MelNet Social Networks Laboratory Technical Report 08-04, Department of Psychology, School of Behavioural Science, University of Melbourne, Australia (pdf). Koskinen, J. H., (2008). The Linked Importance Sampler Auxiliary Variable Metropolis Hastings Algorithm for Distributions with Intractable Normalising Constants. MelNet Social Networks Laboratory Technical Report 08-01, Department of Psychology, School of Behavioural Science, University of Melbourne, Australia (pdf). Robins, G. L., Pattison, P. E. & Koskinen, J. H., (2008), Network Degree Distributions. MelNet Social Networks Laboratory Technical Report 08-02, Department of Psychology, School of Behavioural Science, University of Melbourne, Australia (pdf). Ghilagaber, G. & Koskinen, J. H., (forthcomming). Bayesian Adjustment of Anticipatory Covariates in the Analysis of Retrospective Data. Mathematical Population Studies (early version: Research Report 2006:9, Department of Statistics, Stockholm University) Koskinen, J. H., Robins, G. L., & Pattison, P. E., (2007). Missing data in social network analysis: Inferences from incomplete missing data. Interim Report to Australian Defence Science and Technology Organisation: University of Melbourne. Koskinen, J. H. & Snijders, T. A. B., (2007). Bayesian Inference for Dynamic Social Network Data. Journal of Statistical Planning and Inference, Vol 137/12 pp 3930-3938. Koskinen, J. H., (2006). A multilevel probit model for correlated binary responses due to friendship structure. Unpublished manuscript, The Swedish Institute for Social Research (SOFI) (Presented at ACSPRI Social Science Methodology Conference, University of Sydney, 10-13th December 2006). Koskinen, J. H., (2005). On Bayesian Inference for Dynamic Network Data. Proceedings of the 5th St. Petersburg Workshop on Simulation, 385-390. Koskinen, J. H., (2004). Essays on Bayesian Inference for Social Networks. PhD-Thesis, Department of Statistics, Stockholm University. (pdf; pdf; Consisting of RR2004:2 through RR2004:5) Koskinen, J. H., (2004). Model Selection for Longitudinal Social Networks. Research Report 2004:5, Department of Statistics, Stockholm University (pdf). Koskinen, J. H., (2004). Bayesian Inference for Longitudinal Social Networks. Research Report 2004:4, Department of Statistics, Stockholm University (pdf). Koskinen, J. H., (2004). Model selection for Cognitive Social Structures. Research Report 2004:3, Department of Statistics, Stockholm University (pdf). Koskinen, J. H., (2004). Bayesian Analysis of Exponential Random Graphs - Estimation of Parameters and Model Selection. Research Report 2004:2, Department of Statistics, Stockholm University (pdf). Koskinen, J. H., Jansson, I., & Spreen, M., (2002). The Role of Perceptional Data in Sampling Large Networks from Hidden Populations. In Jan Hagberg (ed.), Contributions to Social Network Analysis, Information Theory, and Other Topics in Statistics; A Festschrift in honour of Ove Frank. Stockholm: Dept. of Statistics, Stockholm University. Koskinen, J. H. (2002). Bayesian Analysis of Cognitive Social Structures. Licentiate theses, Dept. of Statistics, Stockholm University (pdf; RR 2002:2 and RR 2002:3). Koskinen, J. H., (2002). Bayesian Analysis of Cognitive Social Structures with Covariates. Research Report 2002:3, Department of Statistics, Stockholm University (pdf). Koskinen, J. H., (2002). Bayesian Analysis of Perceived Social Networks. Research Report 2002:2, Department of Statistics, Stockholm University (pdf). PresentationsMethodological implications of missing data in social network analysis - recent findings and future challenges (2008). Presentation at Presented at the workshop: The Interdependence of Networks and Behaviour - Psychological, Sociological, Political and Economic Perspectives. Faculty of Law, University of Melbourne, November 10, 2008. The evolution of a bi-partite network - Peer referral in interlocking directorates (2008) (with Christofer Edling). Presentation at Presented at the workshop: The Interdependence of Networks and Behaviour - Psychological, Sociological, Political and Economic Perspectives. Faculty of Law, University of Melbourne, November 10, 2008. Methodological implications of missing data in social network analysis - recent findings and future challenges (2008), Connections Talk, The Australian Defence Science and Technology Organisation DSTO, Edinburgh, South Australia, November 4, 2008. Missing data in social networks: Model-based inference (2008) (with Garry Robins and Philippa Pattison). Presentation at 7th Blankensee Colloquium: Human capital and social capital in criminal networks, Berlin, 28 February – 2 March 2008. Approximate and exact Bayesian goodness of fit for ERGMs (p*) (2008) (with Peng Wang, Dean Lusher, and Garry Robins). Sunbelt XXVIII, Sunbelt Social Network Conference, Tradewinds Resort Hotel, St. Pete Beach, FL, January 22-27, 2008. Network effects in multilevel analysis (2008) (with Mark Tranmer). Sunbelt XXVIII, Sunbelt Social Network Conference, Tradewinds Resort Hotel, St. Pete Beach, FL, January 22-27, 2008. Interdependencies in a social network context from a statistical perspective with an illustration of the treatment of missing data, CCSR, School of Social Sciences, Kantorovich Building, Humanities Bridgeford Street, University of Manchester, Manchester, 4 September 2007. |
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