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SUMMARY:Inverting Entomological Growth Curves Using Functional Data Analys
 is - John Aston (University of Cambridge)
DTSTART:20161108T113000Z
DTEND:20161108T121500Z
UID:TALK68869@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>Co-authors: Davide Pigoli (University of  Cambridge)\, A
 njali Mazumder (Carnegie Mellon University)\, Frederic  Ferraty (Toulouse 
 Jean Jaures University)\, Martin Hall (Natural  History Museum) <br></span
 > <span><br>It is not unusual in cases where a body is discovered that it 
 is necessary to  determine a time of death or more formally a post mortem 
 interval (PMI).  Forensic entomology can be used to estimate this PMI by e
 xamining evidence  obtained from the body from insect larvae growth. Growt
 h curves however are  temperature dependent\, and usually direct temperatu
 re measurements from the body  location are unavailable for the time perio
 ds of interest. In this work\, we  investigate models for PMI estimation\,
  including temperature prediction\, based  on functional data analysis. We
  will evaluate the possibilities of using  different models\, particularly
  based on ideas from function registration\, to try  to obtain inferences 
 concerning PMI and indeed whether multiple species data can  be incorporat
 ed into the model. This can allow even more accurate estimation of  PMI.</
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LOCATION:Seminar Room 1\, Newton Institute
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