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Electronic Theses & Dissertations
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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
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
Innovative stock assessment methods and management solutions for spatially structured fish populations
Li, Yang (Statistician)
Text (2018)
Part of
Electronic Theses & Dissertations
High dimensional computational models for biomedical imaging data analysis
Zhang, Liangliang
Text (2017)
Part of
Electronic Theses & Dissertations
Variational bayes deep neural network : theory, methods and applications
Liu, Zihuan
Text (2021)
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
Asymptotically optimal and admissible estimators in compound compact Gaussian shift experiments
Majumdar, Suman
Text (1992)
Part of
Electronic Theses & Dissertations
Asymptotically optimal Bayes compound and empirical Bayes estimators in exponential families with compact parameter space
Datta, Somnath
Text (1988)
Part of
Electronic Theses & Dissertations
The Bayesian paradigm of robustness indices of causal inferences
Li, Tenglong
Text (2018)
Part of
Electronic Theses & Dissertations
Bayesian bootstrap credible sets for multidimensional mean functional
Choudhuri, Nidhan
Text (1998)
Part of
Electronic Theses & Dissertations
The processing and aggregation of information within organizational structures
Kim, Sangmook
Text (1992)
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
Consistent Bayesian learning for neural network models : theory and computation
Jantre, Sanket Rajendra
Text (2022)
Part of
Electronic Theses & Dissertations
Parametric empirical Bayes problems with cost for component observations
Jung, Inna
Text (1988)
Part of
Electronic Theses & Dissertations
Graph-based methods for inferring neuronal connectivity from spike train ensembles
El-dawlatly, Seif El-din
Text (2011)
Part of
Electronic Theses & Dissertations
Metamodeling framework for simultaneous multi-objective optimization using efficient evolutionary algorithms
Roy, Proteek Chandan
Text (2019)
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
Three papers in Bayesian empirical macroeconomics
Corrigan, Paul Richard
Text (2004)
Part of
Electronic Theses & Dissertations
On asymptotic optimality of Bayes empirical Bayes estimators
Li, Tze Fen
Text (1981)
Part of
Electronic Theses & Dissertations
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