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CATEGORIES:MRC Biostatistics Unit Seminars
SUMMARY:BSU Seminar: &quot\;Graphical and summary diagnost
 ics for node level adequacy in Bayesian hierarchic
 al models&quot\; - Ida Scheel\, University of Oslo
DTSTART;TZID=Europe/London:20250121T140000
DTEND;TZID=Europe/London:20250121T150000
UID:TALK226450AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/226450
DESCRIPTION:For Bayesian hierarchical models represented by di
 rected acyclic graphs\, all neighbours of a node p
 rovide\, potentially conflicting\, information on 
 the node. Hence identifying potential conflict bet
 ween these different information sources can be im
 portant for assessing the adequacy of Bayesian hie
 rarchical models. Building on this idea originatin
 g from [1]\, [3] constructed node based conflict m
 easures that have been shown to be well calibrated
 . Sharing the idea of considering potential confli
 ct between separate information sources for each n
 ode\, [4] constructed a graphical diagnostic lcp. 
 This can be used both to identify conflict at each
  node\, and provide insight into the nature of the
  conflict\, hence being more informative than summ
 ary diagnostics. We link these two ideas together 
 by constructing a new diagnostic plot iic-lcp that
  is supplementary to lcp\, but builds on the frame
 work of [3]. It has the advantage over the lcp wit
 h the possibility to display curves corresponding 
 to different parameters in the same plot\, saving 
 space and easing comparisons\, particularly useful
  for sets of parameters representing exchangeable 
 groups. We show how to visually read some of the c
 onflict measures defined in [3] from iic-lcp\, com
 bining graphical and summary diagnostics.\n
LOCATION:Online Seminar
CONTACT:Alison Quenault
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