Research Works

Here is a selected list of my published and in-preparation papers. For more details, please see my CV and Google Scholar. 

Papers Published in Journals

1. Majumder T., Lahiri, S.N. and Martin D.E. (2025+). Fitting Sparse Markov Models to categorical time series using regularization. In Press. Journal of Computational and Graphical Statistics. 

2. Ghosh A., Majumder T. and Basu A. (2022). A General Robust Bayes Pseudo-Posteriors: Exponential Convergence results with Applications. Statistica Sinica. 32 , 787-823.

Papers Published in Book Chapters

1. 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.

Papers in Preparation/Under Review

1. 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.

2. 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.