ProQuest Subject Index - Statistics at UNIVERSITY OF MINNESOTA

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You are viewing titles for UNIVERSITY OF MINNESOTA in the Statistics available through the UMI Dissertations & Thesis Gradwoorks site

Statistical decision theory for human perception-action cycles	Inference after model selection

Topics in nonstandard probability theory	Monte Carlo evidence regarding the effects of violating assumed conditions of two-level hierarchical models for cross-sectional data

Topics on dimension reduction	Sufficient dimension reduction based on normal and Wishart inverse models

Optimal combining of statistical procedures	Adaptive model selection

Maximum Lq-likelihood estimation	Monte Carlo standard errors for Markov chain Monte Carlo

Graphical methods of determining predictor importance and effect	Adaptive regularization using the entire solution surface

Statistical properties of Gaussian reproducing kernel in density estimation	Regression curve estimation with possible jumps/roofs/valleys preserved and step/roof edge detection in regression surfaces

Statistical methods for genetics and genomics studies	Bayesian network applications in molecular biology, computer graphics and computer vision

A nonparametric change-point model for Phase II analysis	Incorporating biological knowledge of genes into microarray data analysis

Dimension reduction and prediction in large p regressions	Spectral curvature clustering for Hybrid Linear Modeling

Geometric ergodicity of Gibbs samplers	Adaptive model selection in linear mixed models

Geostatistical approaches to characterizing the hydrogeology of glacial drift	Application of an active comparator-based benefit-risk assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework

Bayesian hierarchical modeling for adaptive incorporation of historical information in clinical trials	A Parametricness Index and Consistency with Complexity Penalty for Model Selection

Sufficient Dimension Reduction and Variable Selection	A nonparametric change point model for multivariate phase-II statistical process control

A Consideration of Issues Related to the Confirmatory Factor Analysis of the Evaluation Use and Evaluation Involvement Scales	Water Yield in the Southern Appalachian Mountains

Parameter Estimation in Social Network Models	Geometric Ergodicity of a Random-Walk Metropolis Algorithm via Variable Transformation and Computer Aided Reasoning in Statistics

Management and conservation implications of Blakiston's fish owl (Ketupa blakistoni) resource selection in Primorye, Russia	Edge Structure Preserving 2-D and 3-D Image Denoising by Jump Surface Estimation

Statistical methods in genome sequence analysis	Statistical methods for gene set based prediction and clustering analysis of microarrays

Likelihood Ratio Tests for High-dimensional Normal Distributions	Mixed Effects Models for Size-Attained Data

Second Generation Sparse Models	Sparsity Control for Robustness and Social Data Analysis

Anonymity and Privacy in Public Key Cryptography	A Bayesian approach to joint small area estimation

Evaluating the use of two different models of collaborative tests in an online introductory statistics course	Factors Accounting for Change in Effective Parenting Following Homelessness

Sparsity-Cognizant Algorithms with Applications to Communications, Signal Processing, and the Smart Grid	Minimax Estimation and Model Identification for High-dimensional Regression

Envelope Models and Methods	Process-based Bayesian Melding of Occupational Exposure Models and Industrial Workplace Data

On Some Computational, Modeling and Design Issues in Bayesian Analysis of Spatial Data	An Empirical Study of Bonett's (2009) Meta-Analytic Model

Image registration by non-degenerate pixel detection	A Bayesian Approach to Cluster Sampling

Misspecification of the covariance matrix in the linear mixed model: A monte carlo simulation	Bayesian Approach to Phase II Statistical Process Control for Time Series