Empirical bayes hierarchical models for regularizing maximum likelihood estimation in the matrix Gaussian procrustes problem

Proceedings of the National Academy of Sciences of the United States of America

Volumn 103, Issue 49, 2006, Pages 18521-18527

  Theobald, Douglas L ^a,b   Wuttke, Deborah S ^a  

^a UNIVERSITY OF COLORADO   (United States)

^b BRANDEIS UNIVERSITY   (United States)

Author keywords

Heteroscedasticity; Least squares; Morphometrics; Procrustes analysis; Superpositions

Indexed keywords

ARTICLE; BAYES THEOREM; CORRELATION ANALYSIS; COVARIANCE; GAUSSIAN PROCRUSTES ANALYSIS; GEOMETRY; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; NONHUMAN; PRIORITY JOURNAL; PROBLEM SOLVING; REGRESSION ANALYSIS; ROTATION; STATISTICAL ANALYSIS;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; LEAST-SQUARES ANALYSIS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PROTEIN STRUCTURE, TERTIARY;

EID: 33748683496     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.0508445103     Document Type: Article

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