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Program of Study: Statistics - Doctor of Philosophy
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Copyright Status: Creative Commons Licensed
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Electronic Theses & Dissertations
11
Material Type
Theses
11
Language
English
11
Subject
Agriculture
1
Alzheimer's disease
1
Alzheimer's disease--Diagnosis
1
Artificial intelligence
1
Brain
1
Brain--Imaging
1
Brownian motion processes
1
Chebyshev approximation
1
Data mining
1
Deep learning (Machine learning)
1
Diffusion tensor imaging
1
Education
1
Fractals
1
Information science
1
Machine learning
1
Magnetic resonance imaging
1
Magnetic resonance imaging--Data processing
1
Mathematical statistics
1
Moments method (Statistics)
1
Probabilities--Mathematical models
1
Quantitative research
1
Research
1
Self-similar processes
1
Sequential analysis
1
Statistics
8
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CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES
Son, Mookyong
Text (2023)
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
Machine learning towards data with complex structures
Su, Runze
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
Minimax lower bounds in high order tensor models with applications to neuroimaging
Banerjee, Chitrak
Text (2020)
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
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
Samaddar, Anirban
Text (2023)
Part of
Electronic Theses & Dissertations
A Neural Networks Based Method With Genetic Data Analysis of Complex Diseases
Lin, Jinghang
Text (2021)
Part of
Electronic Theses & Dissertations
Statistical inference on self-similar and increment stationary processes and random fields
Lee, Jeonghwa (Graduate of Michigan State University)
Text (2019)
Part of
Electronic Theses & Dissertations
High dimensional classification for spatially dependent data with application to neuroimaging
Li, Yingjie (Graduate of Michigan State University)
Text (2018)
Part of
Electronic Theses & Dissertations
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