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Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models
Tomohiro Ando
Graduate School of Business Administration
Research output
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Contribution to journal
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Article
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peer-review
142
Citations (Scopus)
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Dive into the research topics of 'Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models'. Together they form a unique fingerprint.
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Mathematics
Asymptotic Bias
30%
Bias Correction
30%
Bootstrap
22%
Empirical Bayes
86%
Estimator
42%
Evaluation
52%
Family
11%
Hierarchical Bayesian Model
36%
Information Criterion
89%
Model
23%
Model Evaluation
35%
Posterior Mean
94%
Predictive Distribution
60%
Probability Distribution
19%
Random Effects
24%
Business & Economics
Asymptotic Bias
35%
Bias Correction
45%
Bootstrap
34%
Empirical Bayes
100%
Estimator
57%
Evaluation
38%
Hierarchical Bayesian Model
39%
Information Criterion
89%
Model Evaluation
32%
Predictive Distribution
68%
Probability Distribution
23%
Random Effects
25%
Agriculture & Biology
probability distribution
32%
Engineering & Materials Science
Probability distributions
22%