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You are viewing titles for THE OHIO STATE UNIVERSITY in the Statistics available through the UMI Dissertations & Thesis Gradwoorks site
 
A sequential design for approximating the Pareto front using the expected Pareto improvement function
 Efficient algorithms for fitting Bayesian mixture models
 
Bayesian Probit Regression Models for Spatially-Dependent Categorical Data
 Hierarchical Spatial and Spatio-Temporal Modeling of Massive Datasets, with Application to Global Mapping of CO2
 
Bayesian Dynamical Modeling of Count Data
 Role of Majorization in "Learning the Kernel" within a Gaussian Process Regression Framework
 
Likelihood-Free Bayesian Modeling
 Regression Model Stochastic Search via Local Orthogonalization
 
Simultaneous Adaptive Fractional Discriminant Analysis: Applications to the Face Recognition Problem
 High-Dimensional Data Clustering and Statistical Analysis of Clustering-based Data Summarization Products
 
Two Tales of Variable Selection for High Dimensional Data: Screening and Model Building
 The Generalized Multiset Sampler: Theory and Its Application
 
Calibrated Bayes factors for model selection and model averaging
 On A-optimal Designs for Discrete Choice Experiments and Sensitivity Analysis for Computer Experiments
 
Statistical Consistency of Ranking: Bipartite and Multipartite Cases
 Comparisons of Classification Methods in Efficiency and Robustness