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SUMMARY:Data\, models and reality: a modern statistical perspective (by Ri
 chard Chandler)
DTSTART:20171103T090000Z
DTEND:20171103T100000Z
DTSTAMP:20171024T080305Z
UID:presentation-48.series-5
DESCRIPTION:Climate scientists face many challenging problems\, in relatio
 n to the climate both of the past (observations are often sparse\, incompl
 ete and imperfect) and of the future (different climate models give differ
 ent projections and\, perhaps\, are considered to have different reliabili
 ties). At a fundamental level\, many of these challenges are statistical i
 n nature: statistics being the science of (a) interpreting information (b)
  determining what information is needed to answer a particular question of
  interest (or\, conversely\, to determine what questions can be answered w
 ith a given information set). In this presentation I will try to give a mo
 dern statistical perspective on several of these issues\, together with so
 me modern statistical solutions to the associated problems. Some key theme
 s of the presentation will be: the need for a model-based approach to stat
 istical analysis\; accounting for missing or incomplete data\; and the com
 bination of information from multiple sources (such as different GCMs) in 
 such a way as to make defensible statements about the real climate system.
LOCATION:SR Wegener Center\, Brandhofgasse 5\, 1st floor
ORGANIZER;CN="Douglas Maraun";ROLE=CHAIR:MAILTO:douglas.maraun@uni-graz.at
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