5 citations · 8 across the 12 of their papers we have counts for
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Semi-parametric least-area linear-circular regression through Möbius transformation
Surojit Biswas, Buddhananda Banerjee
This paper introduces a novel regression model designed for angular response variables with linear predictors, utilizing a generalized Möbius transformation to define the regressio…
Intrinsic geometry-inspired dependent toroidal distribution: Application to regression model for astigmatism data
Buddhananda Banerjee, Surojit Biswas
This paper introduces a dependent toroidal distribution, to analyze astigmatism data following cataract surgery. Rather than utilizing the flat torus, we opt to represent the bivar…
Intrinsic Geometry-Based Angular Covariance: A Novel Framework for Nonparametric Changepoint Detection in Meteorological Data
Surojit Biswas, Buddhananda Banerjee, Arnab Kumar Laha
In many temporal datasets, the parameters of the underlying distribution may change abruptly at unknown times. Detecting such changepoints is crucial for numerous applications. Alt…
An Efficient Sampling from Circular Distributions and its Extension to Toroidal Distributions
Surojit Biswas, Buddhananda Banerjee
Sampling from circular distributions is a fundamental task in directional statistics. A key challenge in acceptance-rejection methods lies in selecting an efficient envelope densit…
A geometric approach in non-parametric Changepoint detection in circular data
Surojit Biswas, Buddhananda Banerjee, Arnab Kumar Laha
In many temporally ordered data sets, it is observed that the parameters of the underlying distribution change abruptly at unknown times. The detection of such changepoints is impo…