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Riddhi Pratim Ghosh

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Riddhi Pratim Ghosh

Publications

Publications:

X. Jin (Graduate student), I. Barnett, K.C. Chan, & R.P. Ghosh, 2024+, Two sample hypothesis testing for unequal-size random graphs [https://arxiv.org/abs/2402.11133, submitted]

R.P. Ghosh, J-P Onnela, & I. Barnett, 2023 +, A Generalized Estimating Equation Approach to Network Regression [https://arxiv.org/abs/2301.04804, Submitted]

X. Jin (Graduate student), A. Bhattacharya, & R.P. Ghosh, 2024, High-dimensional Bernstein von-Mises theorem for the Diaconis-Ylvisaker prior, Journal of Multivariate Analysis

R.P. Ghosh & I. Barnett, 2023, Selecting a significance level in sequential testing procedures for community detection, Applied Network Science

R.P. Ghosh, A. Maity, M. Pourahmadi, & B. Mallick, 2022, Adaptive Bayesian Variable Clustering via Structural Learning of Breast Cancer Data, Genetic Epidemiology

K.Abrogast, R.P. Ghosh, ..., S.Margulies, I.Barnett, & C. Master, 2022, Trajectories of Visual and Vestibular Markers of Youth Concussion, Journal of Neurotrauma

F. Mandel, R.P. Ghosh, & I. Barnett, 2022 Neural networks for clustered and longitudinal data using mixed effects models, Biometrics

R.P. Ghosh, B. Mallick, and M.Pourahmadi, 2021, Bayesian Estimation of Correlation Matrices of Longitudinal Data, Bayesian Analysis

K.Abrogast, R.P. Ghosh,..., C.Master, 2021, Age and Sex-based Trajectories of Visiovestibular Markers of Youth Concussion, 38th Symposium of the National Neurotrauma Society

N.Das, R.P. Ghosh, ..., B.Mallick, 2019, Optimal Transport Based Tracking of Space Objects in Cylindrical Manifold, The Journal of the Astronautical Sciences

Working papers:

J. Allis (Graduate student), X. Jin, & R.P. Ghosh, 2024, Generalized Tree Informed Mixed Models

R.P. Ghosh & I. Barnett, 2023, On the ELBO maximization of Bayesian Neural Networks

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