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Hierarchical Bayesian models for small area estimation of biophysical and social forestry variables
Ver Planck, Neil Ryan
Text (2018)
Part of
Electronic Theses & Dissertations
Empirical Bayes estimation for unbalanced multilevel structural equation models via the EM algorithm
Jo, See-Heyon
Text (1994)
Part of
Electronic Theses & Dissertations
Variable selection in high-dimensional setup : a detailed illustration through marketing and MRI data
Majumder, Atreyee
Text (2017)
Part of
Electronic Theses & Dissertations
Allowing others to learn : essays on Bayesian updating in environments of asymmetric information
Jagdish, Vinit K.
Text (2005)
Part of
Electronic Theses & Dissertations
The processing and aggregation of information within organizational structures
Kim, Sangmook
Text (1992)
Part of
Electronic Theses & Dissertations
Bayesian variable selection and functional data analysis : application to brain imaging
Banik, Asish Kumar
Text (2019)
Part of
Electronic Theses & Dissertations
The application of Gibbs sampling to nested variance components models with heterogeneous within-group variance
Kasim, Rafa M.
Text (1994)
Part of
Electronic Theses & Dissertations
A hierarchical Bayesian approach to model spatially correlated binary data with applications to dental research
Zhang, Yanwei
Text (2008)
Part of
Electronic Theses & Dissertations
The Bayesian paradigm of robustness indices of causal inferences
Li, Tenglong
Text (2018)
Part of
Electronic Theses & Dissertations
High dimensional computational models for biomedical imaging data analysis
Zhang, Liangliang
Text (2017)
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Electronic Theses & Dissertations
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