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Mitchell Centre Seminar Series: Isabella Gollini

Dates:15 October 2014
Times:16:00 - 17:30
What is it:Seminar
Organiser:School of Social Sciences
Speaker:Isabella Gollini
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  • In group "(SoSS) Social Statistics"
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Weekly seminar series of the Mitchell Centre for Social Network Analysis.

Isabella Gollini, University of Bristol HBS G6

Bayesian framework for social network analysis with focus on latent variable network models

Recent research in statistical social network analysis has demonstrated the advantages and effectiveness of probabilistic approaches to social network data. The general Bayesian framework codifies how to proceed with the inference in a rational way by propagating information through Bayes theorem. In this talk we describe the main steps of the Bayesian framework for social network analysis: probabilistic modelling, parameter estimation, model selection, and predictive Bayesian goodness-of-fit testing. A particular focus will be given to latent variable network models and advanced inferential methods, which allow to efficiently describe the relational structure of large network data.

Speaker

Isabella Gollini

Role: Research Assistant in Bayesian Statistics

Organisation: University of Bristol

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G6
Humanities Bridgeford Street
Manchester

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Elisa Bellotti

01612752921

elisa.bellotti@manchester.ac.uk

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