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Electronic Theses & Dissertations
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Theses
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On some aspects of portfolio management
Kang, Mengrong
Text (2013)
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
Data driven based estimation and control for automotive systems
Tang, Jian (Graduate of Michigan State University)
Text (2022)
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
Empirical bayes with sequential components
Karunamuni, Rohana Jith
Text (1985)
Part of
Electronic Theses & Dissertations
Extended rules for the classification of dependent parameters
Gunawardena, Kosgallana Liyana Durage
Text (1988)
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
Asymptotically optimal and admissible estimators in compound compact Gaussian shift experiments
Majumdar, Suman
Text (1992)
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
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
High dimensional computational models for biomedical imaging data analysis
Zhang, Liangliang
Text (2017)
Part of
Electronic Theses & Dissertations
Hierarchical Bayesian models for small area estimation of biophysical and social forestry variables
Ver Planck, Neil Ryan
Text (2018)
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
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
Bayesian decision making and learning for continuous-time Markov systems
Panayirci, Erdal, 1941-
Text (1970)
Part of
Electronic Theses & Dissertations
Variational bayes inference of Ising models and their applications
Kim, Minwoo
Text (2022)
Part of
Electronic Theses & Dissertations
Shrinkage procedures for mixed model analyses of microarray experiments
Xiao, Lan
Text (2007)
Part of
Electronic Theses & Dissertations
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