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20212026
most citedHumbert Generalized Fractional Differenced ARMA Processes

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Estimation and Autoregressive Modeling of Mittag-Leffler Distributions with Application in Finance

Monika S. Dhull

This work deals with the estimation of parameters of Mittag-Leffler (ML()) distribution. We estimate the parameters of ML() using empirical Laplace transform method. Th…

math.ST2023

Geometric Infinitely Divisible Autoregressive Models

Monika Singh Dhull, Arun Kumar

In this article, we discuss some geometric infinitely divisible (gid) random variables using the Laplace exponents which are Bernstein functions and study their properties. The dis…

math.ST2023★ 3 cited

Humbert Generalized Fractional Differenced ARMA Processes

Niharika Bhootna, Monika Singh Dhull, Arun Kumar +1

In this article, we use the generating functions of the Humbert polynomials to define two types of Humbert generalized fractional differenced ARMA processes. We present stationarit…

stat.ME2021

The expectation-maximization algorithm for autoregressive models with normal inverse Gaussian innovations

Monika S. Dhull, Arun Kumar, Agnieszka Wylomanska

The autoregressive (AR) models are used to represent the time-varying random process in which output depends linearly on previous terms and a stochastic term (the innovation). In t…

stat.ME2021

Normal Inverse Gaussian Autoregressive Model Using EM Algorithm

Monika Singh Dhull, Arun Kumar

In this article, normal inverse Gaussian (NIG) autoregressive model is introduced. The parameters of the model are estimated using Expectation Maximization (EM) algorithm. The effi…