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NORMALIZING FLOWS AIDED VARIATIONAL INFERENCE FOR UNCERTAINTY QUANTIFICATION
Premchandar, Sumegha
Text (2024)
Part of
Electronic Theses & Dissertations
Parameter estimation for univariate and bivariate Gaussian processes and fields
Liu, Nian
Text (2024)
Part of
Electronic Theses & Dissertations
LEARNING THE INTRINSIC DIMENSION OF COMPLEX LARGE DATASETS
Weaver, Joseph M.
Text (2024)
Part of
Electronic Theses & Dissertations
Comprehensive Approaches to High-Dimensional Heterogeneous Data : Semiparametric Methods and Feature Selection
Lee, Sang Kyu
Text (2024)
Part of
Electronic Theses & Dissertations
OPTIMAL SAMPLING STRATEGIES USING CASE-CONTROL STUDIES FOR BINARY SECONDARY OUTCOMES UNDER BUDGET CONSTRAINTS
Wang, Liang
Text (2024)
Part of
Electronic Theses & Dissertations
A LATENT STATE-TRAIT MODEL FOR MULTILEVEL MEDIATION ANALYSIS WITH MULTIPLE TIMEPOINTS
Bradford, Lydia
Text (2024)
Part of
Electronic Theses & Dissertations
INTEGRATIVE LEARNING OF CELLULAR SYSTEMS AND NETWORKS
Venegas, Julian D.
Text (2024)
Part of
Electronic Theses & Dissertations
An in-service middle school teacher's content knowledge of the variability of data distributions
Turini, Marie Pia
Text (2011)
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
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