Browsing by Author "Guhaniyogi, Rajarshi"
Now showing items 1-7 of 7
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Gutierrez, Rene; Scheffler, Aaron; Guhaniyogi, Rajarshi (2021-12-13)
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Guha, Sharmistha; Guhaniyogi, Rajarshi (2022-08-25)This article focuses on model-based clustering of subjects based on the shared relationships of subject-specific networks and covariates in scenarios when there are differences in the relationship between networks and ...
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Guhaniyogi, Rajarshi; Laura, Baracaldo; Sudipto, Banerjee (2023-03-24)Varying coefficient models are popular tools in estimating nonlinear regression functions in functional data models. Their Bayesian variants have received limited attention in large data applications, primarily due to the ...
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Gutierrez, Rene; Scheffler, Aaron; Guhaniyogi, Rajarshi; Dickinson, Abigail; DiStefano, Charlotte; Jeste, Shafali (2023-03-03)Clustering of tensors with limited sample size has become prevalent in a variety of application areas. Existing Bayesian model based clustering of tensors yields less accurate clusters when the tensor dimensions are ...
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Guha, Sharmistha; Guhaniyogi, Rajarshi (2023-05-16)This article focuses on model-based clustering of subjects based on the shared relationships of subject-specific networks and covariates in scenarios when there are differences in the relationship between networks and ...
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Gutierrez, Rene; Scheffler, Aaron; Guhaniyogi, Rajarshi; Gorno-Tempini, Maria; Mandelli, Maria; Battistella, Giovanni (2023-03-02)This article focuses on a multi-modal imaging data application where structural/anatomical information from grey matter (GM) and brain connectivity information in the form of a brain connectome network from functional ...
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Guhaniyogi, Rajarshi; Scheffler, Aaron (2023-05-16)Bayesian computation of high dimensional linear regression models with popular Gaussian scale mixture prior distributions using Markov Chain Monte Carlo (MCMC) or its variants can be extremely slow or completely prohibitive ...