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Bayesian variable selection in Poisson change-point regression analysis
S. Min,
T. Park
Department of Applied Statistics
Research output
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Contribution to journal
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Article
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peer-review
2
Citations (Scopus)
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Dive into the research topics of 'Bayesian variable selection in Poisson change-point regression analysis'. Together they form a unique fingerprint.
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Mathematics
Covariate
100%
Bayesian Variable Selection
50%
Regression Analysis
16%
Metropolis
16%
Gibbs Sampler
16%
Space Estimate
16%
Model Space
16%
Posterior Inclusion Probability
16%
Social Sciences
Regression Model
33%
Probability
25%
Regression Analysis
25%
Metropolis
25%
Economics, Econometrics and Finance
Bayesian
75%
Computer Science
Selection Method
33%
Computation
16%