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Electronic Theses & Dissertations
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Statistical inference with high-dimensional dependent data
Santo, Shawn M.
Text (2018)
Part of
Electronic Theses & Dissertations
Statistical issues and novel strategies for expression quantitative trait loci mapping
Li, Shaoyu
Text (2011)
Part of
Electronic Theses & Dissertations
Application of dynamic programming methods to a problem of identification by sequential experimentation
Juola, Robert Carl
Text (1968)
Part of
Electronic Theses & Dissertations
Introducing sparsity into selection index methodology with applications to high-throughput phenotyping and genomic prediction
Lopez Cruz, Marco Antonio
Text (2020)
Part of
Electronic Theses & Dissertations
Causal inference with Mendelian randomization for longitudinal data
Qu, Jialin
Text (2022)
Part of
Electronic Theses & Dissertations
Robust algorithms on low-rank approximation and their applications
Sha, Ningyu
Text (2021)
Part of
Electronic Theses & Dissertations
Machine learning aided feature selection for ultrahigh dimensional data : theory and applications
Ganguli, Arkaprabha
Text (2023)
Part of
Electronic Theses & Dissertations
A Dependence Model for Unbalanced Crop Insurance Indemnity Amounts
Lin, Yi-Hsuen
Text (2023)
Part of
Electronic Theses & Dissertations
Hierarchical models for small area estimation using zero-inflated forest inventory variables : comparison and implementation
White, Grayson W.
Text (2025)
Part of
Electronic Theses & Dissertations
NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES
Zhang, Shan
Text (2021)
Part of
Electronic Theses & Dissertations
Bayesian uncertainty quantification of computer models with efficient calibration and computation
Kejzlar, Vojtech
Text (2020)
Part of
Electronic Theses & Dissertations
Approximation to bayes risk in compound decision problems
Oaten, Allan
Text (1969)
Part of
Electronic Theses & Dissertations
Supervised dimension reduction techniques for high-dimensional data
Molho, Dylan
Text (2022)
Part of
Electronic Theses & Dissertations
Using machine learning to uncover population heterogeneity in longitudinal study
Lee, Youngjun
Text (2022)
Part of
Electronic Theses & Dissertations
Tests of homogeneity in two-component mixture models
Hsu, Wei-wen
Text (2011)
Part of
Electronic Theses & Dissertations
The effect of missing two-mode tie data on parameter estimation when the influence model is used
Chen, Tingqiao
Text (2020)
Part of
Electronic Theses & Dissertations
Inter-rater agreement in autism spectrum disorder for anxiety, depression, and broad internalizing symptoms : a meta-analysis
Youngdahl, Janelle
Text (2020)
Part of
Electronic Theses & Dissertations
Minimum distance estimation on regression models with dependent errors and goodness of fit test of errors
Kim, Jiwoong
Text (2016)
Part of
Electronic Theses & Dissertations
Estimating covariance structure in high dimensions
Maurya, Ashwini
Text (2016)
Part of
Electronic Theses & Dissertations
Machine Learning Methods for feature selection and prediction applied to large scale genetics data
Samaddar, Anirban
Text (2023)
Part of
Electronic Theses & Dissertations
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