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Measures of Bayesian learning and identifiability in hierarchical models
Yang Xie
, Bradley P. Carlin
Clinical Sciences - QBRC
Clinical Sciences
Research output
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Contribution to journal
›
Article
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peer-review
25
Scopus citations
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Dive into the research topics of 'Measures of Bayesian learning and identifiability in hierarchical models'. Together they form a unique fingerprint.
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Mathematics
Bayesian Learning
81%
Community
18%
Concepts
19%
Context
11%
Data analysis
16%
Hierarchical Linear Models
28%
Hierarchical Model
65%
Identifiability
61%
Improper Prior
26%
Kullback-Leibler Divergence
22%
Markov Chain Monte Carlo
18%
Model
12%
Prior distribution
18%
Proximity
19%
Random Effects
18%
Statistical Estimation
22%
Strictly
14%
Business & Economics
Bayesian Learning
100%
Hierarchical Linear Models
26%
Hierarchical Model
77%
Identifiability
82%
Kullback-Leibler Divergence
27%
Markov Chain Monte Carlo
22%
Proximity
17%
Random Effects
19%
Statistical Estimation
26%
Engineering & Materials Science
Markov chains
17%