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Generative signal processing through multilayer multiscale wavelet models

Generative signal processing through multilayer multiscale wavelet models

Text (2021)

Part of Electronic Theses & Dissertations

On permutation patterns, pinnacle sets, and backbones of bipartite projections

On permutation patterns, pinnacle sets, and backbones of bipartite projections

Domagalski, Rachel

Text (2021)

Part of Electronic Theses & Dissertations

Data integration in population and community ecology using hierarchical modeling

Data integration in population and community ecology using hierarchical modeling

Farr, Matthew T.

Text (2021)

Part of Electronic Theses & Dissertations

Bayesian Statistical Methods : Advancing Field-Level Risk Assessment in Agriculture, Accessible Statistical Training, and Inclusive Global Education

Bayesian Statistical Methods : Advancing Field-Level Risk Assessment in Agriculture, Accessible Statistical Training, and Inclusive Global Education

Text (2023)

Part of Electronic Theses & Dissertations

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

Supervised dimension reduction techniques for high-dimensional data

Supervised dimension reduction techniques for high-dimensional data

Text (2022)

Part of Electronic Theses & Dissertations

Machine learning aided feature selection for ultrahigh dimensional data : theory and applications

Machine learning aided feature selection for ultrahigh dimensional data : theory and applications

Ganguli, Arkaprabha

Text (2023)

Part of Electronic Theses & Dissertations

Machine Learning Methods for feature selection and prediction applied to large scale genetics data

Machine Learning Methods for feature selection and prediction applied to large scale genetics data

Samaddar, Anirban

Text (2023)

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

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

A Neural Networks Based Method With Genetic Data Analysis of Complex Diseases

A Neural Networks Based Method With Genetic Data Analysis of Complex Diseases

Text (2021)

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

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

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

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

NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES

NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES

Text (2021)

Part of Electronic Theses & Dissertations

Three essays on panel data models with interactive and unobserved effects

Three essays on panel data models with interactive and unobserved effects

Brown, Nicholas Lynn

Text (2022)

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

A comprehensive item response theory framework for evaluating standard setting

A comprehensive item response theory framework for evaluating standard setting

Text (2009)

Part of Electronic Theses & Dissertations

Application of dynamic programming methods to a problem of identification by sequential experimentation

Application of dynamic programming methods to a problem of identification by sequential experimentation

Juola, Robert Carl

Text (1968)

Part of Electronic Theses & Dissertations

First order allocation

First order allocation

Text (1991)

Part of Electronic Theses & Dissertations