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stat.ME2026
On Modeling Cylindrical Data with a Discrete Circular Component and Its Environmental Applications
Brajesh Kumar Dhakad, Jayant Jha
Standard statistical methods are often inadequate for modeling the joint dependence between linear and circular variables, and existing methods for modeling this dependence are des…
stat.ME2026
Some bivariate distributions on a discrete torus with application to wind direction datasets
Brajesh Kumar Dhakad, Jayant Jha, Debepsita Mukherjee
Directional measurements such as wind directions are often recorded in a finite number of angular categories rather than as exact angles. When two such measurements are observed jo…
stat.ME2026
Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
Prajamitra Bhuyan, Soutik Halder, Jayant Jha
This paper introduces the modeling of circular data with excess zeros under a longitudinal framework, where the response is a circular variable and the covariates can be both linea…