activity
20162025
most citedArtificial Neural Network and Time Series Modeling Based Approach to Forecasting the Exchange Rate in a Multivariate Framework

50 citations · 92 across the 14 of their papers we have counts for

collaborators

15 papers

stat.ME2025★ 1 cited

A Bivariate Poisson-Gamma Distribution: Statistical Properties and Practical Applications

Indranil Ghosh, Mina Norouzirad, Filipe J. Marques

Although the specification of bivariate probability models using a collection of assumed conditional distributions is not a novel concept, it has received considerable attention in…

stat.ME2023★ 4 cited

On discriminating between Libby-Novick generalized beta and Kumaraswamy distributions: theory and methods

Indranil Ghosh

In fitting a continuous bounded data, the generalized beta (and several variants of this distribution) and the two-parameter Kumaraswamy (KW) distributions are the two most promine…

stat.ME2023

On classical and Bayesian inference for bivariate Poisson conditionals distributions: Theory, methods and applications

Barry C. Arnold, Indranil Ghosh

Bivariate count data arise in several different disciplines (epidemiology, marketing, sports statistics, etc., to name but a few) and the bivariate Poisson distribution which is a…

stat.ME2023

Bivariate binomial conditionals distributions with positive and negative correlations: A statistical study

Indranil Ghosh, Filipe Marques, Subrata Chakraborty

In this article, we discuss a bivariate distribution whose conditionals are univariate binomial distributions and the marginals are not binomial that exhibits negative correlation.…

physics.soc-ph2022

A physics-driven study of dominance space in soccer

Costas J. Efthimiou, Gregory DeCamillis, Indranil Ghosh

In arXiv:2107.05714 the concept of the Voronoi diagram was investigated closely from a theoretical point of view. Then, a physics-driven kinematical method was introduced to produc…

math.ST2019

On compatibility/incompatibility of two discrete probability distributions in the presence of incomplete specification

Indranil Ghosh, N. Balakrishnan

Conditional specification of distributions is a developing area with many applications. In the finite discrete case, a variety of compatible conditions can be derived. In this pape…