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Michael D Perlman
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Seemingly unrelated regressions
Likelihood-ratio test
Statistical model
Model selection
Directed graph
Maximum likelihood
Missing data
Graphical model
Statistics
Covariance matrix
Conditional independence
Probability and statistics
Markov property
Multivariate normal distribution
Statistical hypothesis testing
Normal distribution
Likelihood function
Bayesian network
Markov model
Linear regression
Directed acyclic graph
Multivariate analysis
Multivariate analysis of variance
Random variable
Regression analysis
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Seemingly unrelated regressions
Likelihood-ratio test
Statistical model
Model selection
Directed graph
Maximum likelihood
Missing data
Graphical model
Statistics
Covariance matrix
Conditional independence
Probability and statistics
Markov property
Multivariate normal distribution
Statistical hypothesis testing
Normal distribution
Likelihood function
Bayesian network
Markov model
Linear regression
Directed acyclic graph
Multivariate analysis
Multivariate analysis of variance
Random variable
Regression analysis
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Author Name
Affiliation
Papers
Michael D Perlman
Indiana University
96
Michael D Perlman
University Of Chicago
4
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