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Electronic Theses & Dissertations
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Testing of regression functions when responses are missing at random
Li, Xiaoyu
Text (2012)
Part of
Electronic Theses & Dissertations
Statistical inference for functional and longitudinal data
Cao, Guanqun
Text (2012)
Part of
Electronic Theses & Dissertations
STATISTICALLY CONSISTENT SUPPORT TENSOR MACHINE FOR MULTI-DIMENSIONAL DATA
Li, Peide
Text (2021)
Part of
Electronic Theses & Dissertations
A Neural Networks Based Method With Genetic Data Analysis of Complex Diseases
Lin, Jinghang
Text (2021)
Part of
Electronic Theses & Dissertations
Robust algorithms on low-rank approximation and their applications
Sha, Ningyu
Text (2021)
Part of
Electronic Theses & Dissertations
NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES
Zhang, Shan
Text (2021)
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
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
Quantifying the bias of standard error estimates due to omitted cluster levels in complex multilevel data : a sensitivity analysis for empirical researchers
Chen, Zixi
Text (2020)
Part of
Electronic Theses & Dissertations
THREE RESEARCH TOPICS IN EDUCATION : (1) ASSOCIATIONS BETWEEN APPROACHES TO LEARNING AND ACADEMIC ACHIEVEMENT; (2) A META- ANALYTIC REVIEW ON APPROACHES TO LEARNING AND ACADEMIC ACHIEVEMENT; (3) POWER ANALYSIS IN META-ANALYSIS: A THREE-LEVEL MODEL
Zhang, Bixi
Text (2021)
Part of
Electronic Theses & Dissertations
On permutation patterns, pinnacle sets, and backbones of bipartite projections
Domagalski, Rachel
Text (2021)
Part of
Electronic Theses & Dissertations
Variational bayes deep neural network : theory, methods and applications
Liu, Zihuan
Text (2021)
Part of
Electronic Theses & Dissertations
Bootstrap based hypothesis testing for high-dimensional data
Chakraborty, Nilanjan
Text (2022)
Part of
Electronic Theses & Dissertations
Causal inference with Mendelian randomization for longitudinal data
Qu, Jialin
Text (2022)
Part of
Electronic Theses & Dissertations
Machine learning towards data with complex structures
Su, Runze
Text (2022)
Part of
Electronic Theses & Dissertations
Data integration in population and community ecology using hierarchical modeling
Farr, Matthew T.
Text (2021)
Part of
Electronic Theses & Dissertations
Novel methods for functional data analysis with applications to neuroimaging studies
Niyogi, Pratim Guha
Text (2022)
Part of
Electronic Theses & Dissertations
Supervised dimension reduction techniques for high-dimensional data
Molho, Dylan
Text (2022)
Part of
Electronic Theses & Dissertations
Three essays on panel data models with interactive and unobserved effects
Brown, Nicholas Lynn
Text (2022)
Part of
Electronic Theses & Dissertations
Development and application of hierarchical models for monitoring avian soundscapes, populations, and communities
Doser, Jeffrey W.
Text (2022)
Part of
Electronic Theses & Dissertations
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