activity
20182022
collaborators

7 papers

math.PR2022

Efficient Simulation of -Tempered -Stable OU Processes

Michael Grabchak, Piergiacomo Sabino

We develop efficient methods for simulating processes of Ornstein-Uhlenbeck type related to the class of -tempered -stable ($\ts$) distributions. Our results hold for both th…

math.PR2020

A Zero-One Law for Markov Chains

Michael Grabchak, Isaac Sonin

We prove an analog of the classical Zero-One Law for both homogeneous and nonhomogeneous Markov chains (MC). Its almost precise formulation is simple: given any event from the…

math.PR2020

An Exact Method For Simulating Rapidly Decreasing Tempered Stable Distributions

Michael Grabchak

Rapidly decreasing tempered stable distributions are useful models for financial applications. However, there has been no exact method for simulation available in the literature. W…

math.PR2020

On the Transition Laws of -Tempered -Stable OU-Processes

Michael Grabchak

We derive an explicit representation for the transition law of a -tempered -stable process of Ornstein-Uhlenbeck-type and use it to develop a methodology for simulation. Our…

math.PR2019

On the Simulation of General Tempered Stable Ornstein-Uhlenbeck Processes

Michael Grabchak

We give an explicit representation for the transition law of a tempered stable Ornstein-Uhlenbeck process and use it to develop a rejection sampling algorithm for exact simulation…

math.PR2018

On the occupancy problem for a regime switching model

Michael Grabchak, Mark Kelbert, Quentin Paris

This article studies the expected occupancy probabilities on an alphabet. Unlike the standard situation, where observations are assumed to be independent and identically distribute…