Here is a selected list of my published and in-preparation papers. For more details, please see my CV and Google Scholar.
Majumder T., Lahiri, S.N. and Martin D.E. (2026). Fitting Sparse Markov Models to categorical time series using regularization. Published Online. Journal of Computational and Graphical Statistics.
Ghosh A., Majumder T. and Basu A. (2022). A General Robust Bayes Pseudo-Posteriors: Exponential Convergence results with Applications. Statistica Sinica. 32 , 787-823.
Martin D.E., Bennett I., Majumder T., Lahiri, S.N. (2022). Equivalence Relations and Inference for Sparse Markov Models. Handbook of Statistics. 45, 1-25, Elsevier.
Majumder T., Xiang K., Glass C., Ji Z., Wang X., Nixon A., Chan C. and Xie J. (2025+). InterSpatial: Utilizing Low-Resolution Spatial Transcriptomics Data to Augment Cell-Cell Communication Inference for Single-cell RNA Sequencing Data. Submitted to Genome Medicine.
Majumder T., Lahiri, S.N. and Martin D.E. (2025+). Fitting Sparse Markov Model by Generalized Convex Clustering Algorithm. To be Submiited in Journal of Machine Learning Research.