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The application of Gibbs sampling to nested variance components models with heterogeneous within-group variance

The application of Gibbs sampling to nested variance components models with heterogeneous within-group variance

Text (1994)

Part of Electronic Theses & Dissertations

Parametric empirical Bayes problems with cost for component observations

Parametric empirical Bayes problems with cost for component observations

Text (1988)

Part of Electronic Theses & Dissertations

A hierarchical Bayesian approach to model spatially correlated binary data with applications to dental research

A hierarchical Bayesian approach to model spatially correlated binary data with applications to dental research

Text (2008)

Part of Electronic Theses & Dissertations

The use of empirical Bayes estimation in audit testing

The use of empirical Bayes estimation in audit testing

Wright, David William

Text (1986)

Part of Electronic Theses & Dissertations

Rates of convergence in sequence-compound squared-distance loss estimation and two-action problems

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

Bayesian bootstrap credible sets for multidimensional mean functional

Bayesian bootstrap credible sets for multidimensional mean functional

Choudhuri, Nidhan

Text (1998)

Part of Electronic Theses & Dissertations

Some admissibility considerations in the finite state component compound and empirical Bayes decision problems

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

High dimensional computational models for biomedical imaging data analysis

High dimensional computational models for biomedical imaging data analysis

Zhang, Liangliang

Text (2017)

Part of Electronic Theses & Dissertations

Variable selection in high-dimensional setup : a detailed illustration through marketing and MRI data

Variable selection in high-dimensional setup : a detailed illustration through marketing and MRI data

Majumder, Atreyee

Text (2017)

Part of Electronic Theses & Dissertations

Innovative stock assessment methods and management solutions for spatially structured fish populations

Innovative stock assessment methods and management solutions for spatially structured fish populations

Li, Yang (Statistician)

Text (2018)

Part of Electronic Theses & Dissertations

Hierarchical Bayesian models for small area estimation of biophysical and social forestry variables

Hierarchical Bayesian models for small area estimation of biophysical and social forestry variables

Ver Planck, Neil Ryan

Text (2018)

Part of Electronic Theses & Dissertations

Estimation of statistical network and region-wise variable selection

Estimation of statistical network and region-wise variable selection

Chakraborty, Sayan

Text (2016)

Part of Electronic Theses & Dissertations

Bayesian variable selection and functional data analysis : application to brain imaging

Bayesian variable selection and functional data analysis : application to brain imaging

Banik, Asish Kumar

Text (2019)

Part of Electronic Theses & Dissertations

Metamodeling framework for simultaneous multi-objective optimization using efficient evolutionary algorithms

Metamodeling framework for simultaneous multi-objective optimization using efficient evolutionary algorithms

Roy, Proteek Chandan

Text (2019)

Part of Electronic Theses & Dissertations

Bayesian variable selection : extensions of nonlocal priors

Bayesian variable selection : extensions of nonlocal priors

Text (2017)

Part of Electronic Theses & Dissertations

Graph-based methods for inferring neuronal connectivity from spike train ensembles

Graph-based methods for inferring neuronal connectivity from spike train ensembles

El-dawlatly, Seif El-din

Text (2011)

Part of Electronic Theses & Dissertations

The Bayesian paradigm of robustness indices of causal inferences

The Bayesian paradigm of robustness indices of causal inferences

Text (2018)

Part of Electronic Theses & Dissertations

Flexible hierarchical Bayesian modeling extensions to improve whole genome prediction and genome wide association analyses

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