MSU Libraries
Digital Repository
Home
About
Collections
Selected facets
Program of Study: Statistics - Doctor of Philosophy
×
Subject: Statistics
×
Collection
Electronic Theses & Dissertations
24
Material Type
Theses
24
Language
English
24
Copyright Status
Creative Commons Licensed
8
In Copyright
16
Subject
Agriculture
1
Analysis of covariance
1
Artificial intelligence
2
Autoregression (Statistics)
1
Bayesian statistical decision theory
2
Big data
1
Bioinformatics
1
Biometry
1
Bootstrap (Statistics)
1
Causation
1
Data mining
1
Deep learning (Machine learning)
1
Diffusion tensor imaging
1
Disease susceptibility--Genetic aspects
1
Education
1
Estimation theory
2
Gaussian processes
1
Gene expression
1
Genes
1
Information science
1
Information technology
1
Instrumental variables (Statistics)
1
Linear models (Statistics)
1
Machine learning
1
Magnetic resonance imaging--Data processing
1
Medical genetics--Statistical methods
1
Moments method (Statistics)
1
Neural networks (Computer science)
2
Physiology
1
Quantitative research
1
Sequential analysis
1
Statistics--Databases
1
Support vector machines
1
Search results
Showing 1 to 20 of 24 results
Results per page
20
50
100
Sort by
Most Relevant
Title (A-Z)
Title (Z-A)
Date (Newest)
Date (Oldest)
Most Recent
Least Relevant
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
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
Causal inference with Mendelian randomization for longitudinal data
Qu, Jialin
Text (2022)
Part of
Electronic Theses & Dissertations
STATISTICALLY CONSISTENT SUPPORT TENSOR MACHINE FOR MULTI-DIMENSIONAL DATA
Li, Peide
Text (2021)
Part of
Electronic Theses & Dissertations
NEURAL NETWORKS MODELS WITH APPLICATIONS TO GENETIC STUDIES
Zhang, Shan
Text (2021)
Part of
Electronic Theses & Dissertations
Predictive model building for utilizing word embedding models : applications in insurance data
Manski, Scott
Text (2020)
Part of
Electronic Theses & Dissertations
Nonparametric Estimation of Integral Curves Using HARDI Data
DeLaura, Michael
Text (2019)
Part of
Electronic Theses & Dissertations
First
1
(current)
2
Last