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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20211005T133945Z
DTSTART:20211020T130000Z
DTEND:20211020T140000Z
SUMMARY:Jim Griffin  - Survival regression models with dependent Bayesian
  nonparametric priors
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}qjj-kty86s1
 7-pqy36j
DESCRIPTION:Professor Jim Griffin\, Professor of Statistical Science at t
 he Department of Statistical Science at University College London is our
  speaker for the Statistics seminar series.\n\nTitle: Survival regressio
 n models with dependent Bayesian nonparametric priors\n\nAbstract: I wil
 l present a novel Bayesian nonparametric model for regression in surviva
 l analysis. The model builds on the neutral to the right model of Doksum
  (1974) and on the Cox proportional hazards model of Kim and Lee (2003).
  The use of a vector of dependent Bayesian nonparametric priors allows u
 s to efficiently model the hazard as a function of covariates whilst all
 owing non-proportionality. Properties of the model and inference schemes
  will be discussed. The method will be illustrated using simulated and r
 eal data.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Zoom link: https://zoom.us/j/92947173491
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