BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20150916T121443Z
DTSTART:20150922T150000Z
DTEND:20150922T163000Z
SUMMARY:CMIST afternoon seminar: How many classes? Statistical modelling 
 of a social network and a terrorist network\, with a latent class model 
 and Bayesian model comparisons
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}i2e-ielh9vm
 7-apvq68
DESCRIPTION:\n\nThis talk discusses the assessment of the number of class
 es in a social network\, through the latent class model extension of the
  exponential random graph model. The assessment uses a new Bayesian meth
 od of model comparisons\, based on the posterior distribution of the dev
 iance for each of the competing models.\n\nThe approach is applied to a 
 well-known social network in which the number of classes is known a prio
 ri\, and to the Noordin Top terrorist network\, analysed at length in th
 e book by Everton (2012).\n\nThe performance of the model comparison met
 hod is illustrated with simulations from  single population models and n
 ormal mixture models.\n\nThis work is joint with Duy Vu and Brian Franci
 s.\n\nReferences\nAitkin\, M. (2010) Statistical Inference: an Integrate
 d Bayesian/Likelihood Approach. CRC Press.\nAitkin\, M.\, Vu\, D. and Fr
 ancis\, B. (2014) Statistical modelling of the group structure of social
  networks. Social Networks 38\, 74-87.\nAitkin\, M.\, Vu\, D. and Franci
 s\, B. (2015)  A new Bayesian approach for determining the number of com
 ponents in a finite mixture. Metron (to appear).\nDOI :10.1007/s40300-01
 5-0068-1\nAitkin\, M.\, Vu\, D. and Francis\, B. (2015) Statistical mode
 lling of a terrorist network. Submitted.\nEverton\, S.F. (2012) Disrupti
 ng Dark Networks. Cambridge University Press.\n\n\nNo registration neede
 d. All Welcome. Tea & coffee provided from 3.45
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:2.07\, Humanities Bridgeford Street\, Manchester
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