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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

Generative signal processing through multilayer multiscale wavelet models

Generative signal processing through multilayer multiscale wavelet models

Text (2021)

Part of Electronic Theses & Dissertations

Machine learning towards data with complex structures

Machine learning towards data with complex structures

Text (2022)

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

Novel methods for functional data analysis with applications to neuroimaging studies

Novel methods for functional data analysis with applications to neuroimaging studies

Niyogi, Pratim Guha

Text (2022)

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

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

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

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

Exploring low-rank prior in high-dimensional data

Exploring low-rank prior in high-dimensional data

Text (2023)

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

Using machine learning to uncover population heterogeneity in longitudinal study

Using machine learning to uncover population heterogeneity in longitudinal study

Text (2022)

Part of Electronic Theses & Dissertations

MACHINE LEARNING BASED EFFICIENT AUTOMATED NDE METHODS FOR DEFECT DIAGNOSTICS

MACHINE LEARNING BASED EFFICIENT AUTOMATED NDE METHODS FOR DEFECT DIAGNOSTICS

Mukherjee, Subrata

Text (2023)

Part of Electronic Theses & Dissertations

CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES

CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES

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

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

Wiener-chaos analysis on Bayesian models with applications in agriculture and climatology

Wiener-chaos analysis on Bayesian models with applications in agriculture and climatology

Text (2020)

Part of Electronic Theses & Dissertations

NORMALIZING FLOWS AIDED VARIATIONAL INFERENCE FOR UNCERTAINTY QUANTIFICATION

NORMALIZING FLOWS AIDED VARIATIONAL INFERENCE FOR UNCERTAINTY QUANTIFICATION

Premchandar, Sumegha

Text (2024)

Part of Electronic Theses & Dissertations

Advanced Statistical and Computational Techniques for Genomic Data Analysis

Advanced Statistical and Computational Techniques for Genomic Data Analysis

Das Adhikari, Sikta

Text (2024)

Part of Electronic Theses & Dissertations

Introducing sparsity into selection index methodology with applications to high-throughput phenotyping and genomic prediction

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