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Thesis Advisor: Maiti, Tapabrata
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Electronic Theses & Dissertations
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Inferences in mixed-effects models with missing covariates and application to meta-analysis
Chawla, Akshita
Text (2015)
Part of
Electronic Theses & Dissertations
High-dimensional variable selection for spatial regression and covariance estimation
Nandy, Siddhartha
Text (2016)
Part of
Electronic Theses & Dissertations
High-dimensional inference for spatial error models
Cai, Liqian
Text (2016)
Part of
Electronic Theses & Dissertations
Some new models for small area estimation
Ren, Hao
Text (2011)
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
Estimation of statistical network and region-wise variable selection
Chakraborty, Sayan
Text (2016)
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
Decode phenome-genome interactions : a data science approach
Chattopadhyay, Abhijnan
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
STATISTICALLY CONSISTENT SUPPORT TENSOR MACHINE FOR MULTI-DIMENSIONAL DATA
Li, Peide
Text (2021)
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
Bayesian variable selection and functional data analysis : application to brain imaging
Banik, Asish Kumar
Text (2019)
Part of
Electronic Theses & Dissertations
Variable selection in high-dimensional setup : a detailed illustration through marketing and MRI data
Majumder, Atreyee
Text (2017)
Part of
Electronic Theses & Dissertations
Bayesian variable selection : extensions of nonlocal priors
Shi, Guiling
Text (2017)
Part of
Electronic Theses & Dissertations
Advanced classification methods for large spatial-temporal data : applications to neuroimaging
Karim, Rejaul
Text (2019)
Part of
Electronic Theses & Dissertations
Quantile regression and extremes
Mandal, Raka
Text (2020)
Part of
Electronic Theses & Dissertations
Statistical machine learning theory and methods for high-dimensional low sample size (HDLSS) problems
Yang, Kaixu
Text (2020)
Part of
Electronic Theses & Dissertations
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