Abstract Details
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Activity Number:
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434
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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Abstract #310744
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View Presentation
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Title:
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Automated Variable Selection for ABC Algorithms
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Author(s):
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Christian P. Robert*+
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Companies:
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Université Paris-Dauphine
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Keywords:
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Bayesian computation ;
ABC ;
SNP ;
model selection
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Abstract:
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We discuss here recent advances made in the selection of summaries for approximate Bayesian computation (ABC). In particular, we emphasize the appeal of using machine learning tools such as random forests to build in an automated version summary statistics of a minimum dimension. Conditional to sufficient progress being made in this direction, we will also discuss why and how ABC methods have to be adapted when analyzing large molecular datasets and will present some progress concerning Single Nucleotide Polymorphism (SNP) data.
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Authors who are presenting talks have a * after their name.
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