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Electronic Theses & Dissertations
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Simultaneous model selection and estimation of generalized linear models with high dimensional predictors
Pijyan, Alex
Text (2022)
Part of
Electronic Theses & Dissertations
Generative signal processing through multilayer multiscale wavelet models
He, Jieqian
Text (2021)
Part of
Electronic Theses & Dissertations
Advanced Statistical and Computational Techniques for Genomic Data Analysis
Das Adhikari, Sikta
Text (2024)
Part of
Electronic Theses & Dissertations
MACHINE LEARNING BASED EFFICIENT AUTOMATED NDE METHODS FOR DEFECT DIAGNOSTICS
Mukherjee, Subrata
Text (2023)
Part of
Electronic Theses & Dissertations
Topological Data Analysis Driven Feature Generation in Machine Learning Models
Barnes, Danielle
Text (2024)
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
Exploring low-rank prior in high-dimensional data
Lyu, He
Text (2023)
Part of
Electronic Theses & Dissertations
CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES
Son, Mookyong
Text (2023)
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
Machine Learning Methods for feature selection and prediction applied to large scale genetics data
Samaddar, Anirban
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
Machine learning aided feature selection for ultrahigh dimensional data : theory and applications
Ganguli, Arkaprabha
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
Extended ensemble estimation : a tool for sensitivity analysis for researchers
Tait, Jordan
Text (2022)
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
Consistent Bayesian learning for neural network models : theory and computation
Jantre, Sanket Rajendra
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
Statistical methods for single cell gene expression : differential expression, curve estimation and graphical modelling
Saha, Satabdi
Text (2022)
Part of
Electronic Theses & Dissertations
Statistical inference with high-dimensional dependent data
Santo, Shawn M.
Text (2018)
Part of
Electronic Theses & Dissertations
PARAMETER ESTIMATION FOR GAUSSIAN RANDOM FIELDS AND MULTIVARIATE GAUSSIAN RANDOM PROCESSES UNDER FIXED-DOMAIN ASYMPTOTICS
Feng, Haoxiang
Text (2024)
Part of
Electronic Theses & Dissertations
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