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Dr Johan Koskinen

PhD

Contact Details

  • Email: johank[at]unimelb.edu.au
  • Telephone: +61 (0) 3 834 44768
  • Fax: +61 (0) 3 93 47 6618
Johan Koskinen

Current project

Missing data in Social Network Analysis - Inferences from incomplete network data, funded by the Defence Science and Technology Organisation (DSTO)

Research Interests

Bayesian methods in Social Science
Social network analysis

Publications and Manuscripts

Ata, A., Lusher, D. , Koskinen, J., & Bastian, B. (2007). Social distance of school-age non-Muslim-Australians towards Muslims and Islam. Working Paper, The University of Melbourne. (Download PDF)

Koskinen, J. & 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. (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 Unpublished manuscript, The Swedish Institute for Social Research (SOFI) (Presented at ACSPRI Social Science Methodology Conference, University of Sydney, 10-13th December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).

Ghilagaber, G. & Koskinen, J. (2006). Bayesian Adjustment of Anticipatory Covariates in the Analysis of Retrospective Data. Research Report 2006:9, Department of Statistics, Stockholm University. (see also contribution to PAA Session 39; under review)

Koskinen, J. (2005). On Bayesian Inference for Dynamic Network Data. Proceedings of the 5th St. Petersburg Workshop on Simulation, 385-390.

Koskinen, J. (2004). Essays on Bayesian Inference for Social Networks. PhD-Thesis, Department of Statistics, Stockholm University. (http://www.statistics.su.se/publikationer/abstr/doc040521.htm; Consisting of RR2004:2 through RR2004:5)

Koskinen, J. (2004). Model Selection for Longitudinal Social Networks. Research Report 2004:5, Department of Statistics, Stockholm University. (http://gauss.stat.su.se/site/pdfer/RR2004_5.pdf)

Koskinen, J. (2004). Bayesian Inference for Longitudinal Social Networks. Research Report 2004:4, Department of Statistics, Stockholm University. (http://gauss.stat.su.se/site/pdfer/RR2004_4.pdf)

Koskinen, J. (2004). Model selection for Cognitive Social Structures. Research Report 2004:3, Department of Statistics, Stockholm University. (http://gauss.stat.su.se/site/pdfer/RR2004_3.pdf)

Koskinen, J. (2004). Bayesian Analysis of Exponential Random Graphs - Estimation of Parameters and Model Selection. Research Report 2004:2, Department of Statistics, Stockholm University. (http://gauss.stat.su.se/site/pdfer/RR2004_2.pdf)

Koskinen, J., 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. (2002). Bayesian Analysis of Cognitive Social Structures. Licentiate theses, Dept. of Statistics, Stockholm University. (http://www.statistics.su.se/public/lictheses/li020130.htm; RR 2002:2 and RR 2002:3)

Koskinen, J. (2002). Bayesian Analysis of Cognitive Social Structures with Covariates. Research Report 2002:3, Department of Statistics, Stockholm University. (http://gauss.stat.su.se/site/pdfer/rr2002-3.pdf)

Koskinen, J. (2002). Bayesian Analysis of Perceived Social Networks. Research Report 2002:2, Department of Statistics, Stockholm University. (http://gauss.stat.su.se/site/pdfer/rr2002-2.pdf)

Presentations

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.

Missing data in social network analysis (2007). The 8th Asia-Pacific Complex Systems Conference, July 2-5, 2007, Surfers Paradise, Gold Coast, QLD, Australia.

Inferring structural dynamics from insufficiently observed social networks (2007). Invited speaker, the fourth workshop on Network Tomography, May 23-24th in Adelaide, Australia.

Fitting models to social networks with missing data (2007). Sunbelt XXVII, International Sunbelt Social Network Conference, 8th European Social Network Conference, Chandris Hotel Complex at Dassia Bay, Corfu Island, Greece, May 1-6, 2007.

A multilevel probit model for correlated binary responses due to friendship structure (2006). ACSPRI Social Science Methodology Conference, University of Sydney, 10-13th December 2006.

Bayesian Adjustment of Anticipatory Covariates in the Analysis of Retrospective Demographic Data (2006).(with Gebrenegus Ghilagaber) Contribution session 39 (Advances in Methodology), the 71st Annual Meeting of the Population Association of America, Los Angeles, California, March, 2006.

The Co-evolution of Multiple Networks (2005). (with Pip Pattison, Garry Robins, Peng Wang, and Tom Snijders). 12th Australasian Mathematical Psychology Conference, University of Adelaide, Australia. (A revised version presented at Sunbelt XXVI, Vancover)

On Bayesian Inference for Dynamic Network Data (2005). Invited speaker, 5th St. Petersburg Workshop on Simulation, St. Petersburg, Russia.

Bayesian Inference for a Family of Models for Longitudinal Social Network Data (2005). The 37th Umeå University Winter conference in Statistics and Mathematical Statistics, KlimpfjÄll, Sweden.

The Evolution of Interlocking Directorates (2004). (with C.R. Edling). Sunbelt XXIV, Portoro~, Slovenien. (http://vlado.fmf.uni-lj.si/info/sunbelt24/abstracts.pdf)

Bayesian and Likelihood Based Inference for Longitudinal Social Network Data (2003). (with T.A.B. Snijders). Sunbelt XXIII, Cancun, Mexico. (http://www.iimas.unam.mx/sunbeltxxiii/abstractsxxiii.htm)

Bayesian Estimation of Offending and Co-offending Using Covariates (2002). Invited speaker in session Deviant & Criminal Networks, Sunbelt XXII, New Orleans, USA. (http://www.spcomm.uiuc.edu/Conf/SunbeltXXII/schedule.htm)

Aggregation of Perceived Social Networks (2001). Sunbelt XXI, Budapest, Hungary. (http://wwwold.sztaki.hu/conferences/sunbelt21/22.html)




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