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20142025
most citedTempered Hermite process

3 citations · 7 across the 11 of their papers we have counts for

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math.PR2020

How does tempering affect the local and global properties of fractional Brownian motion?

Ehsan Azmoodeh, Yuliya Mishura, Farzad Sabzikar

The present paper investigates the effects of tempering the power law kernel of moving average representation of a fractional Brownian motion (fBm) on some local and global propert…

math.PR2020★ 1 cited

On multivariate fractional random fields: tempering and operator-stable laws

G. Didier, S. Kanamori, F. Sabzikar

In this paper, we define a new and broad family of vector-valued random fields called tempered operator fractional operator-stable random fields (TRF, for short). TRF is typically…

math.PR2019

On fractional Lévy processes: tempering, sample path properties and stochastic integration

Benjamin Cooper Boniece, Gustavo Didier, Farzad Sabzikar

We define two new classes of stochastic processes, called tempered fractional Lévy process of the first and second kinds (TFLP and TFLP , respectively). TFLP and TFLP …

math.PR2017★ 2 cited

Invariance Principles for Tempered Fractionally Integrated Processes

Farzad Sabzikar, Donatas Surgailis

We discuss invariance principles for autoregressive tempered fractionally integrated moving averages in -stable i.i.d. innovations and related tempered linear proc…

math.PR2017

Tempered fractional Brownian and stable motions of second kind

Farzad Sabzikar, Donatas Surgailis

Meerschaert and Sabzikar [12], [13] introduced tempered fractional Brownian/stable motion (TFBM/TFSM) by including an exponential tempering factor in the moving average representat…

math.PR2016★ 3 cited

Tempered Hermite process

Farzad Sabzikar

A tempered Hermite process modifies the power law kernel in the time domain representation of a Hermite process by multiplying an exponential tempering factor such that the p…

math.PR2014

Invariance principle for tempered fractional time series models

Farzad Sabzikar

Autoregressive tempered fractionally integrated moving average (ARTFIMA) time series is a useful model for velocity data in turbulence flows. In this paper, we obtain an invariance…