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Program of Study: Statistics - Doctor of Philosophy
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Electronic Theses & Dissertations
65
Language
English
65
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Creative Commons Licensed
11
In Copyright
54
Subject
Agriculture
1
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2
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1
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1
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3
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8
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1
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1
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3
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1
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1
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1
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1
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1
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Dental caries in children
1
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1
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2
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1
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1
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1
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1
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2
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1
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1
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1
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1
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2
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1
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1
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1
Fractals
1
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1
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1
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1
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2
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2
Gene expression
1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
Health risk assessment
1
High-throughput nucleotide sequencing
1
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1
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1
Instrumental variables (Statistics)
1
Ising model
1
Kernel functions
1
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2
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1
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1
Magnetic resonance imaging
1
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1
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1
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2
Mathematical statistics
8
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2
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2
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1
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1
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1
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6
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2
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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3
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3
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2
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4
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1
Research
2
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1
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1
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1
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1
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1
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1
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2
Statistical functionals
1
Statistical hypothesis testing
1
Statistics
24
Statistics--Databases
1
Statistics--Methodology
1
Stochastic analysis
1
Stochastic differential equations
1
Stochastic partial differential equations
1
Stocks
1
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1
Support vector machines
1
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1
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1
Three-dimensional modeling
1
Traffic flow
1
White matter
1
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Statistical machine learning theory and methods for high-dimensional low sample size (HDLSS) problems
Yang, Kaixu
Text (2020)
Part of
Electronic Theses & Dissertations
Variational bayes inference of Ising models and their applications
Kim, Minwoo
Text (2022)
Part of
Electronic Theses & Dissertations
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
Saha, Satabdi
Text (2022)
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
Consistent Bayesian learning for neural network models : theory and computation
Jantre, Sanket Rajendra
Text (2022)
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
Bayesian uncertainty quantification of computer models with efficient calibration and computation
Kejzlar, Vojtech
Text (2020)
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
Sample path properties of Gaussian random fields and stochastic partial differential equations
Lee, Cheuk Yin (Graduate of Michigan State University)
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
Bootstrap based hypothesis testing for high-dimensional data
Chakraborty, Nilanjan
Text (2022)
Part of
Electronic Theses & Dissertations
Variational bayes deep neural network : theory, methods and applications
Liu, Zihuan
Text (2021)
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
GRAPH-BASED CLUSTERING ALGORITHMS FOR SINGLE-CELL RNA SEQUENCING DATA : METHODS AND THEORY
Manousidaki, Andriana
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
Simultaneous model selection and estimation of generalized linear models with high dimensional predictors
Pijyan, Alex
Text (2022)
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
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