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Posterior consistency in some Bayesian nonparametric problems
Rajogopalan, Srikanth K.
Text (1997)
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
Empirical Bayes estimation for unbalanced multilevel structural equation models via the EM algorithm
Jo, See-Heyon
Text (1994)
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
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
Bayesian variable selection : extensions of nonlocal priors
Shi, Guiling
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
Metamodeling framework for simultaneous multi-objective optimization using efficient evolutionary algorithms
Roy, Proteek Chandan
Text (2019)
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
Empirical Bayes results in the case of non-identical components
O'Bryan, Thomas Eugene, 1944-
Text (1972)
Part of
Electronic Theses & Dissertations
Some admissibility considerations in the finite state component compound and empirical Bayes decision problems
Boyer, John Elvin, 1947-
Text (1976)
Part of
Electronic Theses & Dissertations
The use of empirical Bayes estimation in audit testing
Wright, David William
Text (1986)
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
Variational bayes deep neural network : theory, methods and applications
Liu, Zihuan
Text (2021)
Part of
Electronic Theses & Dissertations
Variational bayes inference of Ising models and their applications
Kim, Minwoo
Text (2022)
Part of
Electronic Theses & Dissertations
A search for novel decay modes in 11-beryllium
Surbrook, Jason Tyler
Text (2023)
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
Consistent Bayesian learning for neural network models : theory and computation
Jantre, Sanket Rajendra
Text (2022)
Part of
Electronic Theses & Dissertations
Extended rules for the classification of dependent parameters
Gunawardena, Kosgallana Liyana Durage
Text (1988)
Part of
Electronic Theses & Dissertations
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