Measuring the Implications of the D-Basis in Analysis of Data in Biomedical Studies. - Kira V. Adaricheva; James B. Nation; Gordon Okimoto; Vyacheslav Adarichev; Adina Amanbekkyzy; Shuchismita Sarkar; Alibek Sailanbayev; Nazar Seidalin; Kenneth Alibek (ICFCA, 2015)

Gaussian mixture modeling and model-based clustering under measurement inconsistency. - Shuchismita Sarkar; Volodymyr Melnykov; Rong Zheng 004 (Adv. Data Anal. Classif., 2020)

On parsimonious models for modeling matrix data. - Shuchismita Sarkar; Xuwen Zhu; Volodymyr Melnykov; Salvatore Ingrassia (Comput. Stat. Data Anal., 2020)

On finite mixture modeling and model-based clustering of directed weighted multilayer networks. - Volodymyr Melnykov; Shuchismita Sarkar; Yana Melnykov (Pattern Recognit., 2021)

MatTransMix: an R Package for Matrix Model-Based Clustering and Parsimonious Mixture Modeling. - Xuwen Zhu; Shuchismita Sarkar; Volodymyr Melnykov (J. Classif., 2022)

Multiple change point clustering of count processes with application to California COVID data. - Shuchismita Sarkar; Xuwen Zhu (Pattern Recognit. Lett., 2022)

Finite mixture of hidden Markov models for tensor-variate time series data. - Abdullah Asilkalkan; Xuwen Zhu; Shuchismita Sarkar (Adv. Data Anal. Classif., 2024)

On regime changes in text data using hidden Markov model of contaminated vMF distribution. - Yingying Zhang; Shuchismita Sarkar; Yuanyuan Chen; Xuwen Zhu (Data Min. Knowl. Discov., 2024)