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Abstract Details
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Activity Number:
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267
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #306945 |
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Title:
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Modularity in Methodology and Implementation: Interfacing Bayesians and Survey Data
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Author(s):
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Thomas Lumley*+
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Companies:
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University of Auckland
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Address:
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, , , New Zealand
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Keywords:
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Abstract:
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Statistical software shapes users' view of statistical methodology: the Sapir-Whorf hypothesis is true for computer languages even if not for real languages. Designing the structure of the user interface to map to useful divisions of the problem space is therefore important. One interesting example is Bayesian software for analysis of complex surveys: Bayesian software typically focuses on specifying the likelihood, but survey software focuses on specifying the sampling design and the estimand, considered as a functional of the population distribution. I will talk about some ideas for interface design incorporating Bayesian methods and complex survey sampling.
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Authors who are presenting talks have a * after their name.
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