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DTSTART:20110313T020000
RDATE:20110313T020000
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CREATED;VALUE=DATE-TIME:20110504T224356Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20110510T113000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20110510T103000
DTSTAMP;VALUE=DATE-TIME:20110504T224356Z
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UID:http://calagator.org/events/1250460560
DESCRIPTION:Presented by Chad Scherrer.&#13\;\n&#13\;\nSampling from a la
 rge discrete distribution is a common problem in statistics. In this tal
 k\, we'll consider a real-world situation where the properties of the di
 stribution cause common approaches to break down\, and we'll arrive at a
  Haskell-based solution that fixes the problem.\n\nTags: galois\, tech t
 alk\, haskell\, statistics\n\nImported from: http://calagator.org/events
 /1250460560
URL:http://corp.galois.com/blog/2011/5/4/tech-talk-empirical-sampling-wit
 h-haskell.html
SUMMARY:Galois Tech Talk: Empirical Sampling With Haskell
LOCATION:Galois\, Inc: 421 SW 6th Ave. Suite 300\, Portland OR 97204 US
SEQUENCE:1
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