Sujit K. Ghosh

22 papers A* 1C 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian Estimation of Clustered Dependence Structures in Functional Neuroconnectivity.
J. Comput. Graph. Stat.
Hyoshin Kim, Sujit K. Ghosh, Adriana Di Martino, Emily C. Hector
2025 J jnl
Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting.
CoRR
Alokesh Manna, Sujit K. Ghosh
2025 J jnl
Functional time transformation model with applications to digital health.
Comput. Stat. Data Anal.
Rahul Ghosal, Marcos Matabuena, Sujit K. Ghosh
2024 J jnl
Fast Model Selection and Hyperparameter Tuning for Generative Models.
Entropy
Luming Chen, Sujit K. Ghosh
2024 J jnl
Similarity-based active learning methods.
Expert Syst. Appl.
Qun Sui, Sujit K. Ghosh
2023 — conf
A Wearable System for Continuous Monitoring and Assessment of Speech, Gait, and Cognitive Decline for Early Diagnosis of ADRD.
EMBC
James Dieffenderfer, Alec Brewer, Maxwell A. Noonan, Madeline Smith, Emily Eichenlaub, Katarina L. Haley, Adam Jacks, Edgar J. Lobaton, Shevaun D. Neupert, Thomas M. Hess, Jason R. Franz, Sujit K. Ghosh, Veena Misra, Alper Bozkurt
2023 J jnl
Shape-constrained estimation in functional regression with Bernstein polynomials.
Comput. Stat. Data Anal.
Rahul Ghosal, Sujit K. Ghosh, Jacek K. Urbanek, Jennifer A. Schrack, Vadim Zipunnikov
2022 J jnl
Bayesian inference for generalized linear model with linear inequality constraints.
Comput. Stat. Data Anal.
Rahul Ghosal, Sujit K. Ghosh
2021 J jnl
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models.
CoRR
Qi Ma, Sujit K. Ghosh
2021 J jnl
Uncertainty quantification and estimation of closed curves based on noisy data.
Comput. Stat.
Luming Chen, Sujit K. Ghosh
2020 A* conf
A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components.
KDD
Yuantong Li, Qi Ma, Sujit K. Ghosh
2020 J jnl
A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components.
CoRR
Yuantong Li, Qi Ma, Sujit K. Ghosh
2020 J jnl
On empirical estimation of mode based on weakly dependent samples.
Comput. Stat. Data Anal.
Bowen Liu, Sujit K. Ghosh
2018 J jnl
On nonparametric estimation of the latent distribution for ordinal data.
Comput. Stat. Data Anal.
Sujit K. Ghosh, Christopher B. Burns, Daniel L. Prager, Li Zhang, Glenn Hui
2014 J jnl
Unimodal density estimation using Bernstein polynomials.
Comput. Stat. Data Anal.
Bradley C. Turnbull, Sujit K. Ghosh
2013 J jnl
A semiparametric approach to source separation using independent component analysis.
Comput. Stat. Data Anal.
Ani Eloyan, Sujit K. Ghosh
2012 J jnl
Nonparametric regression models for right-censored data using Bernstein polynomials.
Comput. Stat. Data Anal.
Muhtarjan Osman, Sujit K. Ghosh
2012 J jnl
Shape restricted nonparametric regression with Bernstein polynomials.
Comput. Stat. Data Anal.
J. Wang, Sujit K. Ghosh
2009 J jnl
A stochastic neighborhood conditional autoregressive model for spatial data.
Comput. Stat. Data Anal.
Gentry White, Sujit K. Ghosh
2008 J jnl
Bayesian estimation and unit root tests for Random Coefficient AutoRegressive models.
Model. Assist. Stat. Appl.
Dazhe Wang, Sujit K. Ghosh
2006 C conf
Study of Sub-Pixel Classification Algorithms for High Dimensionality Data Set.
IGARSS
A. Kumar, V. K. Dadhwal, Sujit K. Ghosh
2001 J jnl
Essential Wavelets for Statistical Applications and Data Analysis.
Technometrics
Sujit K. Ghosh