7 papers
Distribution-Free test for Changepoint Detection in Angular Mean Direction: Application in Finance
Surojit Biswas, Buddhananda Banerjee
In this paper, we propose a distribution-free test for detecting changepoint in the mean direction of angular data. The uncertainty in angular measurements is quantified through th…
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…
A Semi-Parametric Torus-to-Torus Regression Model with Geometric Loss: Application to Cyclone Data
Surojit Biswas, Buddhananda Banerjee
This study introduces a novel torus-to-torus regression framework to improve the analysis and prediction of cyclone-driven wind-wave directional dynamics. This research, to our kno…
Hyperbolic statistical inference for Treatment Effects with Circular biomarker of astigmatism
Buddhananda Banerjee, Surojit Biswas, Daitari Prusty
Circular biomarkers arise naturally in many biomedical applications, particularly in ophthalmology, where angular measurements such as astigmatism are routinely recorded. Similar d…
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…
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…