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Activity Number:
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424
- Contributed Poster Presentations: Social Statistics Section
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
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Sponsor:
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Social Statistics Section
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Abstract #329235
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Title:
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Bayesian Extended Redundancy Analysis with Spike-And-Slab Variable Selection for Binary Responses
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Author(s):
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Min Jung Kyung* and Ju-Hyun Park and Ji Yeh Choi
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Companies:
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Duksung Women's University and Dongguk University and National University of Singapore
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Keywords:
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extended redundancy analysis;
spike and slab prior;
Gibbs sampling;
probit link;
variable selection
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Abstract:
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Bayesian inference for extended redundancy analysis with binary response variables is proposed that allows analyzing a variety of directional relationships among multiple sets of variables. For simultaneous variable selection and coefficient estimation, the spike and slab prior has considered on weights in probit extended redundancy analysis. A simulation study is conducted to investigate the performance of the proposed method. The proposed method also applied to Twitter data of political preference to choose relevant explanatory variables in the structure of directional relationship.
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Authors who are presenting talks have a * after their name.
