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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
Consistent Bayesian learning for neural network models : theory and computation
Jantre, Sanket Rajendra
Text (2022)
Part of
Electronic Theses & Dissertations
Rates of convergence in sequence-compound squared-distance loss estimation and two-action problems
Susarla, V. (Vyaghreswarudu), 1943-
Text (1970)
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
Shrinkage procedures for mixed model analyses of microarray experiments
Xiao, Lan
Text (2007)
Part of
Electronic Theses & Dissertations
Data driven based estimation and control for automotive systems
Tang, Jian (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
Bayesian decision making and learning for continuous-time Markov systems
Panayirci, Erdal, 1941-
Text (1970)
Part of
Electronic Theses & Dissertations
Three papers in Bayesian empirical macroeconomics
Corrigan, Paul Richard
Text (2004)
Part of
Electronic Theses & Dissertations
A search for novel decay modes in 11-beryllium
Surbrook, Jason Tyler
Text (2023)
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
Flexible hierarchical Bayesian modeling extensions to improve whole genome prediction and genome wide association analyses
Chen, Chunyu (Graduate of Michigan State University)
Text (2017)
Part of
Electronic Theses & Dissertations
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