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Tests of homogeneity in two-component mixture models
Hsu, Wei-wen
Text (2011)
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
Three essays on panel data models with interactive and unobserved effects
Brown, Nicholas Lynn
Text (2022)
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
Novel methods for functional data analysis with applications to neuroimaging studies
Niyogi, Pratim Guha
Text (2022)
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
NORMALIZING FLOWS AIDED VARIATIONAL INFERENCE FOR UNCERTAINTY QUANTIFICATION
Premchandar, Sumegha
Text (2024)
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
Causal inference with Mendelian randomization for longitudinal data
Qu, Jialin
Text (2022)
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
CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES
Son, Mookyong
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
Implementing validation procedures to study the properties of widely used statistical analysis methods of RNA sequencing experiments
Reeb, Pablo Daniel
Text (2015)
Part of
Electronic Theses & Dissertations
Exploring low-rank prior in high-dimensional data
Lyu, He
Text (2023)
Part of
Electronic Theses & Dissertations
Statistical analysis for network-based models with applications to genetic association and prediction
Shen, Xiaoxi
Text (2019)
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
Advanced Statistical and Computational Techniques for Genomic Data Analysis
Das Adhikari, Sikta
Text (2024)
Part of
Electronic Theses & Dissertations
ROBUST STATISTICAL METHODS FOR CAUSAL DISCOVERY IN ONE-SAMPLE MENDELIAN RANDOMIZATION STUDIES
Shi, Ruxin
Text (2025)
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
Supervised dimension reduction techniques for high-dimensional data
Molho, Dylan
Text (2022)
Part of
Electronic Theses & Dissertations
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