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Electronic Theses & Dissertations
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Theses
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English
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CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES
Son, Mookyong
Text (2023)
Part of
Electronic Theses & Dissertations
MACHINE LEARNING BASED EFFICIENT AUTOMATED NDE METHODS FOR DEFECT DIAGNOSTICS
Mukherjee, Subrata
Text (2023)
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
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
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
Wiener-chaos analysis on Bayesian models with applications in agriculture and climatology
Wang, Han
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
MEDIATION ANALYSIS FOR CASE-CONTROL STUDIES WITH SECONDARY AND TERTIARY OUTCOMES
Cao, Zichun
Text (2023)
Part of
Electronic Theses & Dissertations
Advancing the Science of Invasive Sea Lamprey Integrated Pest Management Using Population Dynamics Modeling and Decision Analysis
Lewandoski, Sean Alois
Text (2023)
Part of
Electronic Theses & Dissertations
Bayesian Statistical Methods : Advancing Field-Level Risk Assessment in Agriculture, Accessible Statistical Training, and Inclusive Global Education
Manski, Sarah
Text (2023)
Part of
Electronic Theses & Dissertations
GRAPH-BASED CLUSTERING ALGORITHMS FOR SINGLE-CELL RNA SEQUENCING DATA : METHODS AND THEORY
Manousidaki, Andriana
Text (2023)
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
A Neural Networks Based Method With Genetic Data Analysis of Complex Diseases
Lin, Jinghang
Text (2021)
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
STATISTICALLY CONSISTENT SUPPORT TENSOR MACHINE FOR MULTI-DIMENSIONAL DATA
Li, Peide
Text (2021)
Part of
Electronic Theses & Dissertations
NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES
Zhang, Shan
Text (2021)
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
Predictive model building for utilizing word embedding models : applications in insurance data
Manski, Scott
Text (2020)
Part of
Electronic Theses & Dissertations
How to Decompose the Between and Within Effects in Contextual Models
Guo, Siwen
Text (2019)
Part of
Electronic Theses & Dissertations
Nonparametric Estimation of Integral Curves Using HARDI Data
DeLaura, Michael
Text (2019)
Part of
Electronic Theses & Dissertations
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