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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 Autumn 2013 - date TBC |
ANALYST COURSES |
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Advanced Hotspot Analysis 3 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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Neighbourhood Analysis 5 November 2013 |
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Predictive Mapping Autumn 2013 - date TBC |
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Hypothesis Testing Analysis Autumn 2013 - date TBC |
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Darwin College Lecture Series: Statistics and the Law
| Date: | Friday, February 27, 2004 | |
| Time: | 17:30 | |
| Link: | http://www.dar.cam.ac.uk/lectures/2004/index.shtml |
| Location: | The Lady Mitchell Hall, Sidgwick Avenue, Cambridge | |
| Contact Name: | Philip Dawid | |
| Contact Phone: | 020 7679 1861 |
Recent cases involving multiple infant deaths and DNA
profiling identification have highlighted some of the problematic issues
that can arise when statistical evidence is introduced into legal
proceedings. It might appear that the concerns of Statistics and those
of Law have little common ground, but in fact both disciplines address
the same fundamental task: the drawing out of sound inferences from
evidence. I will describe the logic of probabilistic reasoning and its
application to cases at law, and show how its all too frequent neglect
or misapplication has led to serious errors and miscarriages of justice.
Both Statistics and Law are faced with the problem of structuring and
making sense of mixed masses of evidence. The modern technology of
"Probabilistic Expert Systems" can be seen as an extension of the
century-old "Wigmore chart" method, used by lawyers to organise the many
items of evidence in a case and express the many kinds of relationship
between them. This technology is now being used to provide a correct and
efficient way of taking account of whatever limited evidence may be at
hand, a task that could otherwise be impossible. An important area of
application is the interpretation of DNA profiles taken from relatives
when that of the suspect (in a criminal case) or putative father (in a
paternity case) is unavailable.
Finally I shall discuss the wider relevance of the use of formal methods
of reasoning about evidence, in the context of an inter-disciplinary
programme on "Evidence, Inference and Enquiry".
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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