activity
20162024
most citedSubordinated Compound Poisson processes of order

1 citations · 2 across the 6 of their papers we have counts for

collaborators

10 papers

math.PR2024

Approximations Related to Tempered Stable Distributions

Kalyan Burman, Neelesh S Upadhye, Palaniappan Vellaisamy

In this article, we first obtain, for the Kolmogorov distance, an error bound between a tempered stable and a compound Poisson distribution and also an error bound between a temper…

math.PR2024

Covariance Identities and Variance Bounds for Infinitely Divisible Random Variables and Their Applications

Kalyan Barman, Neelesh S Upadhye, Palaniappan Vellaisamy

In this article, we establish a general covariance identity for infinitely divisible distributions (IDD). Using this result, we derive Cacoullos type variance bounds for the IDD. A…

stat.ME20211 cited

Estimation of the Parameters of Vector Autoregressive (VAR) Time Series Model with Symmetric Stable Noise

Aastha M. Sathe, N. S. Upadhye

In this article, we propose the fractional lower order covariance method (FLOC) for estimating the parameters of vector autoregressive process (VAR) of order , with sy…

math.PR20201 cited

Subordinated Compound Poisson processes of order

Ayushi Singh Sengar, N. S. Upadhye

In this article, the compound Poisson processes of order (CPPoK) is introduced and its properties are discussed. Further, using mixture of tempered stable subordinator (MTSS) a…

math.PR2020

Approximations Related to the Sums of -dependent Random Variables

Amit N. Kumar, Neelesh S. Upadhye, P. Vellaisamy

In this paper, we consider the sums of non-negative integer valued -dependent random variables, and its approximation to the power series distribution. We first discuss some rel…

stat.CO2019

Estimation of the Parameters of Symmetric Stable ARMA and ARMA-GARCH Models

Aastha M. Sathe, N. S. Upadhye

In this article, we first propose the modified Hannan-Rissanen Method for estimating the parameters of the autoregressive moving average (ARMA) process with symmetric stable noise…