Essential Wavelets for Statistical Applications and Data Analysis. - Sujit K. Ghosh (Technometrics, 2001)

Study of Sub-Pixel Classification Algorithms for High Dimensionality Data Set. - A. Kumar; V. K. Dadhwal; Sujit K. Ghosh (IGARSS, 2006)

Bayesian estimation and unit root tests for Random Coefficient AutoRegressive models. - Dazhe Wang; Sujit K. Ghosh (Model. Assist. Stat. Appl., 2008)

A stochastic neighborhood conditional autoregressive model for spatial data. - Gentry White; Sujit K. Ghosh (Comput. Stat. Data Anal., 2009)

Nonparametric regression models for right-censored data using Bernstein polynomials. - Muhtarjan Osman; Sujit K. Ghosh (Comput. Stat. Data Anal., 2012)

Shape restricted nonparametric regression with Bernstein polynomials. - J. Wang; Sujit K. Ghosh (Comput. Stat. Data Anal., 2012)

A semiparametric approach to source separation using independent component analysis. - Ani Eloyan; Sujit K. Ghosh (Comput. Stat. Data Anal., 2013)

Unimodal density estimation using Bernstein polynomials. - Bradley C. Turnbull; Sujit K. Ghosh (Comput. Stat. Data Anal., 2014)

On nonparametric estimation of the latent distribution for ordinal data. - Sujit K. Ghosh; Christopher B. Burns; Daniel L. Prager; Li Zhang 074; Glenn Hui (Comput. Stat. Data Anal., 2018)

A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components. - Yuantong Li; Qi Ma; Sujit K. Ghosh (KDD, 2020)

On empirical estimation of mode based on weakly dependent samples. - Bowen Liu; Sujit K. Ghosh (Comput. Stat. Data Anal., 2020)

EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models. - Qi Ma; Sujit K. Ghosh (CoRR, 2021)

Uncertainty quantification and estimation of closed curves based on noisy data. - Luming Chen; Sujit K. Ghosh (Comput. Stat., 2021)

Bayesian inference for generalized linear model with linear inequality constraints. - Rahul Ghosal; Sujit K. Ghosh (Comput. Stat. Data Anal., 2022)

A Wearable System for Continuous Monitoring and Assessment of Speech, Gait, and Cognitive Decline for Early Diagnosis of ADRD. - 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; et al. (EMBC, 2023)

Shape-constrained estimation in functional regression with Bernstein polynomials. - Rahul Ghosal; Sujit K. Ghosh; Jacek K. Urbanek; Jennifer A. Schrack; Vadim Zipunnikov (Comput. Stat. Data Anal., 2023)

Similarity-based active learning methods. - Qun Sui; Sujit K. Ghosh (Expert Syst. Appl., 2024)

Fast Model Selection and Hyperparameter Tuning for Generative Models. - Luming Chen; Sujit K. Ghosh (Entropy, 2024)

Functional time transformation model with applications to digital health. - Rahul Ghosal; Marcos Matabuena; Sujit K. Ghosh (Comput. Stat. Data Anal., 2025)