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Adjusted Bayesian inference for selected parameters
Daniel Yekutieli
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Corresponding author for this work
School of Mathematical Sciences
Research output
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Contribution to journal
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Article
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peer-review
28
Scopus citations
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Dive into the research topics of 'Adjusted Bayesian inference for selected parameters'. Together they form a unique fingerprint.
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Keyphrases
Bayesian False Discovery Rate
66%
Bayesian Framework
33%
Bayesian Inference
100%
Bayesian Perspective
33%
Data Issues
33%
Microarray Experiment
33%
Mixture Model
33%
Parameter Dependence
33%
Rate-controlling
33%
Truncated Data
33%
Unknown Constants
33%
Mathematics
Bayesian
100%
Bayesian Inference
100%
Bayesian Perspective
33%
False Discovery Rate
66%
Mixture Model
33%
Simulated Data
33%
Truncated Data
33%
Unknown Constant
33%
Engineering
Bayesian Framework
100%
Illustrates
100%
Microarrays
100%
Simulated Data
100%
Computer Science
Bayesian Framework
50%
Bayesian Perspective
50%
False Discovery
100%
Simulated Data
50%
Unknown Constant
50%