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Activity Number:
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350
- Bayesian Structured Variable Selection
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Type:
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Topic-Contributed
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Date/Time:
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Thursday, August 12, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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International Society for Bayesian Analysis (ISBA)
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Abstract #317485
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Title:
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Bayesian Varying Coefficient Model with Selection
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Author(s):
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Frédéric Mortier*
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Companies:
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CIRAD, UPR Forêts et Sociétés, F-34398 Montpellier, France; Université de Montpellier, F-3
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Keywords:
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Group Spike-and-Slab;
varying coefficient models;
functional mapping;
Arabidopsis thaliana (L. Heynh)
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Abstract:
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In this talk, we present a group spike-and-slab prior to infer and select parameters in varying coefficient models (VCM). VCM are a general class of models encompassing a large number of statistical models as special cases such as the generalized linear model, generalized additive models, dynamic generalized linear models or functional linear models. VCM are useful in the presence of an external variable (time, space) that modifies the effect of a variable of interest on the response. Here, we evaluate and compare our approach in the context of functional mapping using simulations and genetic data of Arabidopsis thaliana (L. Heynh), which motivated these developments.
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Authors who are presenting talks have a * after their name.
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