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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

Bayesian variable selection : extensions of nonlocal priors

Bayesian variable selection : extensions of nonlocal priors

Text (2017)

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

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

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

On some aspects of portfolio management

On some aspects of portfolio management

Text (2013)

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

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

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

Posterior consistency in some Bayesian nonparametric problems

Posterior consistency in some Bayesian nonparametric problems

Rajogopalan, Srikanth K.

Text (1997)

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

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

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

Empirical bayes with sequential components

Empirical bayes with sequential components

Karunamuni, Rohana Jith

Text (1985)

Part of Electronic Theses & Dissertations

Allowing others to learn : essays on Bayesian updating in environments of asymmetric information

Allowing others to learn : essays on Bayesian updating in environments of asymmetric information

Jagdish, Vinit K.

Text (2005)

Part of Electronic Theses & Dissertations

Shrinkage procedures for mixed model analyses of microarray experiments

Shrinkage procedures for mixed model analyses of microarray experiments

Text (2007)

Part of Electronic Theses & Dissertations

On the risk performance of Bayes empirical Bayes procedures in the finite state component case

On the risk performance of Bayes empirical Bayes procedures in the finite state component case

Text (1980)

Part of Electronic Theses & Dissertations

Bayesian decision making and learning for continuous-time Markov systems

Bayesian decision making and learning for continuous-time Markov systems

Panayirci, Erdal, 1941-

Text (1970)

Part of Electronic Theses & Dissertations

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

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