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SUMMARY:Take two moments to gather your wits. Likelihood-free inference fo
 r within-host dynamics of bacterial infection.&quot\; - Olivier Restif\, D
 epartment of Veterinary Medicine
DTSTART:20160414T110000Z
DTEND:20160414T121500Z
UID:TALK65616@talks.cam.ac.uk
CONTACT:Anna Davies
DESCRIPTION:Understanding the within-host dynamics of acute bacterial infe
 ctions is vital for the development of optimised treatment and the managem
 ent of drug resistance. A major hurdle has been the limited resolution of 
 data that can be obtained during infection\, especially when dealing with 
 low numbers of bacteria. For the last 10 years\, a multi-disciplinary rese
 arch programme at the Department of Veterinary Medicine has developed a pi
 oneering approach\, combining "wild-type isogenic tagged strains" (WITS) o
 f Salmonella enterica in mice with mathematical models\, to quantitate the
  key processes that drive the early stages of infection. In this talk\, I 
 will present the latest analytical methods that our group has been explori
 ng in order to improve statistical inference and\, ultimately\, help optim
 ise experimental design. I will cover likelihood-based and likelihood-free
  techniques\, and highlight an efficient moment-closure approach which is 
 showing great promise. 
LOCATION:Meeting room 15\, Centre for Mathematical Sciences
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