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Browsing by Author "Subhashis Ghoshal, Co-Chair"

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    Bayesian Analysis of Dynamic Times Series and High-dimensional Models with Their Applications.
    (2018-07-10) Ning, Bo; Subhashis Ghoshal, Co-Chair; Peter Bloomfield, Co-Chair; Kazimierz Borkowski, Graduate School Representative; Sujit Ghosh, Member; David Dickey, Member; Eric Chi, Member
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    Bayesian Inference in Gaussian Graphical Models under Measurement Error.
    (2021-06-25) Shi, Wenli; Subhashis Ghoshal, Co-Chair; Ryan Martin, Co-Chair; Mihai Diaconeasa, Graduate School Representative; Minh Tang, Member; Leonard Stefanski, Member
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    Bayesian Methods for Exploratory Functional Data Analysis and Existence Theorems for Solutions to Nonlinear Differential and Difference Equations.
    (2016-05-06) Suarez, Adam Justin; Subhashis Ghoshal, Co-Chair; Jesus Rodriguez, Co-Chair; Justin Post, Member; Stephen Schecter, Member; Eric Stone, Member
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    Bayesian Methods for High Dimensional Models in Brain Imaging.
    (2018-04-24) Roy, Arkaprava; Subhashis Ghoshal, Co-Chair; Ana-Maria Staicu, Co-Chair; Ralph Smith, Graduate School Representative; Soumendra Lahiri, Member; Brian Reich, Member
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    Bayesian Variable Selection Using Continuous Shrinkage Priors for Nonparametric Models and Non-Gaussian Data.
    (2017-08-07) Wei, Ran; Subhashis Ghoshal, Co-Chair; Brian Reich, Co-Chair; Soumendra Lahiri, Member; Jane Hoppin, Member
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    Derivative-Free Efficient Global Optimization of Function of Parameters from Bounded Intervals.
    (2016-04-04) Das, Priyam; Subhashis Ghoshal, Co-Chair; Ernest Stitzinger, Co-Chair; Min Kang, Co-Chair
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    Optimal Individualized Treatment Strategy: Flexible Modeling with/without Imaging Covariates.
    (2016-03-28) Luo, Shikai; Rui Song, Co-Chair; Subhashis Ghoshal, Co-Chair; Yichao Wu, Member; Hongtu Zhu, Inter-Institutional; Min Kang, Graduate School Representative

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