activity
20042021
most citedNon-Markovian diffusion equations and processes: analysis and simulations

81 citations · 495 across the 57 of their papers we have counts for

collaborators

64 papers

math.PR2021★ 5 cited

Intermittency and multiscaling in limit theorems

Danijel Grahovac, Nikolai N. Leonenko, Murad S. Taqqu

It has been recently discovered that some random processes may satisfy limit theorems even though they exhibit intermittency, namely an unusual growth of moments. In this paper we…

math.PR2021

A Survey on Limit Theorems for Toeplitz Type Quadratic Functionals of Stationary Processes and Applications

Mamikon S. Ginovyan, Murad S. Taqqu

This is a survey of recent results on central and non-central limit theorems for quadratic functionals of stationary processes. The underlying processes are Gaussian, linear or Lév…

math.PR2020

Semimartingale properties of a generalized fractional Brownian motion and its mixtures with applications in asset pricing

Tomoyuki Ichiba, Guodong Pang, Murad S. Taqqu

We study the semimartingale properties for the generalized fractional Brownian motion (GFBM) introduced by Pang and Taqqu (2019) and discuss the applications of the GFBM and its mi…

math.PR2020

Path Properties of a Generalized Fractional Brownian Motion

Tomoyuki Ichiba, Guodong Pang, Murad S. Taqqu

The generalized fractional Brownian motion is a Gaussian self-similar process whose increments are not necessarily stationary. It appears in applications as the scaling limit of a…

math.PR2020

Extensions of Rosenblatt's results on the asymptotic behavior of the prediction error for deterministic stationary sequences

Nikolay M. Babayan, Mamikon S. Ginovyan, Murad S. Taqqu

One of the main problem in prediction theory of discrete-time second-order stationary processes is to describe the asymptotic behavior of the best linear mean squared predic…

math.PR2019

Intermittency and infinite variance: the case of integrated supOU processes

Danijel Grahovac, Nikolai N. Leonenko, Murad S. Taqqu

SupOU processes are superpositions of Ornstein-Uhlenbeck type processes with a random intensity parameter. They are stationary processes whose marginal distribution and dependence…