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SUMMARY:The Error Statistical Philosophy - Professor Deborah G. Mayo\, Dep
 artment of Philosophy\, Virginia Polytechnic Institute and State Universit
 y
DTSTART:20081209T143000Z
DTEND:20081209T163000Z
UID:TALK15454@talks.cam.ac.uk
CONTACT:Nikolaos Demiris
DESCRIPTION:Long-standing debates regarding the roles and justification of
  statistical methods revolve around implicit assumptions about the nature 
 of scientific inference and the roles of probability in learning about the
  world in the face of errors and uncertainties.  Such assumptions are phil
 osophical\, and a central goal for a philosopher of statistics is to make 
 them explicit. My discussion will consider a philosophy of science that ma
 y be associated with statistical methods based on frequentist error probab
 ilities ("error statistical" methods).  Such an error statistical philosop
 hy\, if it is to be adequate\, should tell us (a) how to interpret\, evalu
 ate\, and justify uses of the formal tools\, as well as (b) how to avoid c
 hronic fallacies and paradoxical examples that are (apparently) licensed b
 y them. 
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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