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DTSTART:19700329T010000
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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Piecewise Deterministic Markov Processes for trans
 dimensional sampling from flexible Bayesian surviv
 al models - Luke Hardcastle (University College Lo
 ndon)
DTSTART;TZID=Europe/London:20241211T150000
DTEND;TZID=Europe/London:20241211T160000
UID:TALK223792AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/223792
DESCRIPTION: Flexible survival models have seen increasing pop
 ularity for the estimation of mean survival in the
  presence of a high degree of administrative censo
 ring where survival curves need to be extrapolated
  beyond final observed event times. This increased
  flexibility\, however\, often introduces challeng
 ing model selection problems that have limited the
 ir wider application. In this talk I will focus on
  two such models\, the polyhazard model and the pi
 ecewise exponential model. We introduce new prior 
 structures that allow for the joint inference of p
 arameters and structural quantities. Posterior sam
 pling is achieved using bespoke MCMC schemes based
  on Piecewise Deterministic Markov Processes that 
 utilise and extend existing methods for these samp
 lers to target transdimensional posterior distribu
 tions. This is a joint work with Samuel Livingston
 e and Gianluca Baio.
LOCATION:Seminar Room 2\, Newton Institute
CONTACT:
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