Biswas, S., Banerjee, B, (2025) Semi-parametric least-area linear-circular regression through M\"{o}bius transformation, Statistical Analysis and Data Mining: The American Statistical Association (ASA) Data Science Journal. Link 

Biswas, S., & Gupta, N. (2022). Stochastic Ordering Inequalities in Parallel and Series Systems with Gumble Distributed Components. Link 

Biswas, S.,  Banerjee, B, and Laha, A.K.: A geometric approach in non-parametric Changepoint detection in circular data

Biswas, S.,  Banerjee, B,: A Semi-Parametric Torus-to-Torus Regression Model with Geometric Loss: Application to Cyclone Data

Biswas, S., and Banerjee, B,: An Efficient Sampling from Circular Distributions and its Extension to Toroidal Distributions. 

Biswas, S.,  Banerjee, B, and Laha, A.K.:  Angular Co-variance using intrinsic geometry of torus: Non-parametric change points detection in meteorological data  

Banerjee, B., Biswas, S.: Intrinsic geometry-inspired dependent toroidal distribution: Application to regression model for astigmatism data

Biswas, S., and  Banerjee, B,: Geometry-Driven Non-Parametric Test for Changepoint Detection in Angular Representation of Cryptocurrency Timestamps at Extreme-Values

Banerjee, B, and Biswas, S.: Sampling from the surface of a curved torus: A new genesis

 Biswas, S.: Some ordering properties of the highest and lowest order statistics with exponentiated Gumbel type-II distributed components. Link

Deep Circular Clustering Models for Genomic and Proteomic Analysis.

Testing the Structural Differences in Genomic Data via Persistent Homology.

 M.Tech Thesis Title: Some ordering properties for the highest and lowest order statistics with exponentiated  Gumbel type-II distributed components.  Link 

M.Sc Thesis Title:  Mass conservative formulation for solving coagulation equation on non-uniform meshes.  Link