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| Research bulletin: understanding the crime fall |
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MSc Open Evening - 14 Scholarships |
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MASTER CLASSES FOR ALL |
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Problem solving, analysis and implementing responses Next date TBC |
ANALYST COURSES |
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Neighbourhood Analysis 21 May 2013 |
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Predictive Mapping *NEW* 23 May 2013 |
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Advanced Hotspot Analysis 2 July 2013 |
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Strategic Assessments 4 July 2013 |
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COURSE IS FULL! 8-19 July 2013 |
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Crime Analysis 23-26 September 2013 |
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Understanding Hotspots 8 October 2013 |
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Hypothesis Testing Analysis Next date TBC |
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Probabilistic Causality
| Date: | Monday, October 09, 2006 | |
| Time: | 15:00 | |
| Link: | http://www.lse.ac.uk/collections/CPNSS/events/Conferences/Pluralism%20and%20Causality%20Programme.htm |
| Location: | Room T20, Lakatos Building London School of Economics Portugal Street London WC2A 2AE | |
| Contact Name: | Damien Fennell |
Probabilistic causality is NOT just deterministic causality with some inputs random.
"Effects of Causes" ("type") and "Causes of Effects" ("token") causality need different formal treatments.
We can handle Effects of Causes with familiar statistical tools and empirically meaningful assumptions.
Causes of Effects needs something more...
Speaker
| Name: | Professor Philip Dawid | |
| Affiliation: | University College London | |
| Homepage: | http://www.homepages.ucl.ac.uk/%7Eucak06d/ | |
| Biography |
Philip Dawid is Professor of
Statistics at Cambridge University, having been Pearson Professor of
Statistics at University College London from 1989 to 2007. He is
Chartered Statistician and Fellow of the Royal Statistical Society,
which has awarded him Guy Medals in Bronze and Silver; elected Fellow of
the Institute of Mathematical Statistics; elected Member of the
International Statistical Institute; and a Member of the Organising
Committee for the Valencia International Meetings on Bayesian
Statistics. He has served as Editor of the Journal of the Royal
Statistical Society (Series B) and of Biometrika, and is currently an
Editor of Bayesian Analysis. He was President of the International
Society for Bayesian Analysis for the year 2000.
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