Empirical Bayes hierarchical models for regularizing maximum likelihood estimation in the matrix Gaussian Procrustes problem
Journal Article
Overview
publication date
- December 5, 2006
has subject area
- Computer Simulation
- Computing Methodologies - Algorithms
- Environment and Public Health - Bayes Theorem
- Environment and Public Health - Least-Squares Analysis
- Environment and Public Health - Likelihood Functions
- Environment and Public Health - Likelihood Functions
- Environment and Public Health - Models, Statistical
- Environment and Public Health - Normal Distribution
- Health Care Evaluation Mechanisms - Bayes Theorem
- Health Care Evaluation Mechanisms - Least-Squares Analysis
- Health Care Evaluation Mechanisms - Likelihood Functions
- Health Care Evaluation Mechanisms - Likelihood Functions
- Health Care Evaluation Mechanisms - Models, Statistical
- Health Care Evaluation Mechanisms - Normal Distribution
- Investigative Techniques - Bayes Theorem
- Investigative Techniques - Least-Squares Analysis
- Investigative Techniques - Likelihood Functions
- Investigative Techniques - Likelihood Functions
- Investigative Techniques - Models, Statistical
- Investigative Techniques - Normal Distribution
- Mathematical Concepts - Algorithms
- Mathematical Concepts - Normal Distribution
- Models, Theoretical - Likelihood Functions
- Models, Theoretical - Models, Statistical
- Protein Structure, Tertiary
has restriction
- green
Date in CU Experts
- October 1, 2013 12:30 PM
Full Author List
- Theobald DL; Wuttke DS
author count
- 2
citation count
- 53
published in
Other Profiles
International Standard Serial Number (ISSN)
- 0027-8424
Digital Object Identifier (DOI)
Additional Document Info
start page
- 18521
end page
- 18527
volume
- 103
issue
- 49