9 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…
MDAS: A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning
Palash Ghosh, Bittu Karmakar, Eklavya Jain +3
In the field of machine learning, model performance is usually assessed by randomly splitting data into training and test sets. Different random splits, however, can yield markedly…
Change-point problem: Direct estimation using a geometry inspired identifiable reparameterization
Buddhananda Banerjee, Arnab Kumar Laha
Estimation of mean shift in a temporally ordered sequence of random variables with a possible existence of change-point is an important problem in many disciplines. In the availabl…