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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
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
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
High dimensional computational models for biomedical imaging data analysis
Zhang, Liangliang
Text (2017)
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 use of empirical Bayes estimation in audit testing
Wright, David William
Text (1986)
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
A search for novel decay modes in 11-beryllium
Surbrook, Jason Tyler
Text (2023)
Part of
Electronic Theses & Dissertations
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