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GRAPH-BASED CLUSTERING ALGORITHMS FOR SINGLE-CELL RNA SEQUENCING DATA : METHODS AND THEORY

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

EXTENDED ENSEMBLE ESTIMATION : A TOOL FOR SENSITIVITY ANALYSIS FOR RESEARCHERS

Text (2022)

Part of Electronic Theses & Dissertations

DATA-DRIVEN DYNAMIC NONLOCAL SUBGRID-SCALE MODELING FOR THE LARGE EDDY SIMULATION OF TURBULENT FLOWS

DATA-DRIVEN DYNAMIC NONLOCAL SUBGRID-SCALE MODELING FOR THE LARGE EDDY SIMULATION OF TURBULENT FLOWS

Seyedi, Seyedhadi

Text (2022)

Part of Electronic Theses & Dissertations

DECODE PHENOME-GENOME INTERACTIONS : A DATA SCIENCE APPROACH

DECODE PHENOME-GENOME INTERACTIONS : A DATA SCIENCE APPROACH

Chattopadhyay, Abhijnan

Text (2022)

Part of Electronic Theses & Dissertations

Statistical Methods for Single Cell Gene Expression : Differential Expression, Curve Estimation and Graphical Modelling

Statistical Methods for Single Cell Gene Expression : Differential Expression, Curve Estimation and Graphical Modelling

Text (2022)

Part of Electronic Theses & Dissertations

Consistent Bayesian Learning for Neural Network Models : Theory and Computation

Consistent Bayesian Learning for Neural Network Models : Theory and Computation

Jantre, Sanket Rajendra

Text (2022)

Part of Electronic Theses & Dissertations

Bootstrap based hypothesis testing for High-dimensional data

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

Causal Inference with Mendelian Randomization for Longitudinal Data

Text (2022)

Part of Electronic Theses & Dissertations

Variational Bayes inference of Ising models and their applications

Variational Bayes inference of Ising models and their applications

Text (2022)

Part of Electronic Theses & Dissertations

Simultaneous Model Selection and Estimation of Generalized Linear Models with High Dimensional Predictors

Simultaneous Model Selection and Estimation of Generalized Linear Models with High Dimensional Predictors

Text (2022)

Part of Electronic Theses & Dissertations

Development and application of hierarchical models for monitoring avian soundscapes, populations, and communities

Development and application of hierarchical models for monitoring avian soundscapes, populations, and communities

Doser, Jeffrey W.

Text (2022)

Part of Electronic Theses & Dissertations

Variational Bayes deep neural network : Theory, Methods and Applications

Variational Bayes deep neural network : Theory, Methods and Applications

Text (2021)

Part of Electronic Theses & Dissertations

ROBUST ALGORITHMS ON LOW-RANK APPROXIMATION AND THEIR APPLICATIONS

ROBUST ALGORITHMS ON LOW-RANK APPROXIMATION AND THEIR APPLICATIONS

Text (2021)

Part of Electronic Theses & Dissertations

NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES

NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES

Text (2021)

Part of Electronic Theses & Dissertations

STATISTICALLY CONSISTENT SUPPORT TENSOR MACHINE FOR MULTI-DIMENSIONAL DATA

STATISTICALLY CONSISTENT SUPPORT TENSOR MACHINE FOR MULTI-DIMENSIONAL DATA

Text (2021)

Part of Electronic Theses & Dissertations

The effect of missing two-mode tie data on parameter estimation when the influence model is used

The effect of missing two-mode tie data on parameter estimation when the influence model is used

Text (2020)

Part of Electronic Theses & Dissertations

Bayesian uncertainty quantification of computer models with efficient calibration and computation

Bayesian uncertainty quantification of computer models with efficient calibration and computation

Kejzlar, Vojtech

Text (2020)

Part of Electronic Theses & Dissertations

Predictive model building for utilizing word embedding models : applications in insurance data

Predictive model building for utilizing word embedding models : applications in insurance data

Text (2020)

Part of Electronic Theses & Dissertations

Inter-rater agreement in autism spectrum disorder for anxiety, depression, and broad internalizing symptoms : a meta-analysis

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

Statistical analysis for network-based models with applications to genetic association and prediction

Statistical analysis for network-based models with applications to genetic association and prediction

Text (2019)

Part of Electronic Theses & Dissertations