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Program of Study: Statistics - Doctor of Philosophy
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Electronic Theses & Dissertations
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Theses
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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
High-dimensional inference for spatial error models
Cai, Liqian
Text (2016)
Part of
Electronic Theses & Dissertations
Variable selection for spatial data and its application to neuroimaging
Amitabha Sarkar, Abdhi
Text (2017)
Part of
Electronic Theses & Dissertations
A spatio-temporal model for white matter tractography in diffusion tensor imaging
Goo, Juna
Text (2020)
Part of
Electronic Theses & Dissertations
Statistical and computational methods for biological data
Hao, Yuning
Text (2019)
Part of
Electronic Theses & Dissertations
Tempered fractional Brownian motion
Sabzikar, Farzad
Text (2014)
Part of
Electronic Theses & Dissertations
STATISTICALLY CONSISTENT SUPPORT TENSOR MACHINE FOR MULTI-DIMENSIONAL DATA
Li, Peide
Text (2021)
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
NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES
Zhang, Shan
Text (2021)
Part of
Electronic Theses & Dissertations
Variational bayes deep neural network : theory, methods and applications
Liu, Zihuan
Text (2021)
Part of
Electronic Theses & Dissertations
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
Qu, Jialin
Text (2022)
Part of
Electronic Theses & Dissertations
Machine learning towards data with complex structures
Su, Runze
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
Variational bayes inference of Ising models and their applications
Kim, Minwoo
Text (2022)
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
Advanced Statistical and Computational Techniques for Genomic Data Analysis
Das Adhikari, Sikta
Text (2024)
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
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
Ganguli, Arkaprabha
Text (2023)
Part of
Electronic Theses & Dissertations
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