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DTSTAMP:20261017T161139Z
SUMMARY:Scalable Bayesian Inference in Applied fields
DESCRIPTION:The workshop bringing together\, on the one hand\, statistician
 s\, computer scientists\, and mathematicians and on the other hand applied
  researchers (especially focusing on epidemiology and public health) with 
 a focus on three interrelated questions:\nWhat is the current practice? Ho
 w do applied researchers use Bayesian methods\, what are the inferential q
 uestions they ask and what are the types of scientific and statistical con
 clusions they want to draw?\nWhat is the methodological state-of-the-art? 
 Which computational methods\, e.g. for MCMC or approximate Bayesian infere
 nce\, do the statisticians (and mathematicians and computer scientists) re
 commend in practice and why? Should theory guide the answer to these quest
 ions? Methodological insights? Under what framework? Is there a role for f
 requentist analysis of Bayesian methods? Proper scoring rules?\nWhat chall
 enges are there for the future? What problems can applied researchers not 
 currently solve\, and are they fundamentally statistical\, computational\,
  or philosophical? What problems are methodological and theory researchers
  working on\, for which real\, applied problems and datasets could be usef
 ul to motivate further development?\nFind out more and register\nFor up-to
 -date information about this workshop\, and to register\, please see the 
 Scalable Bayesian Inference in Applied fields website.
URL:https://www.imperial.ac.uk/events/96918/scalable-bayesian-inference-in-
 applied-fields/
DTSTART;TZID=Europe/London:20190722T093000
DTEND;TZID=Europe/London:20190726T173000
LOCATION:United Kingdom
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DTSTART:20190722T093000
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