1 code implementation • 4 Nov 2022 • Aleksandar Mijatović, Romain Palfray
This paper develops a novel weak multilevel Monte-Carlo (MLMC) approximation scheme for L\'evy-driven Stochastic Differential Equations (SDEs).
no code implementations • 29 Mar 2021 • Jorge Ignacio González Cázares, Aleksandar Mijatović
We develop a novel Monte Carlo algorithm for the vector consisting of the supremum, the time at which the supremum is attained and the position at a given (constant) time of an exponentially tempered L\'evy process.
no code implementations • 22 Dec 2020 • Aleksandar Mijatović, Veno Mramor, Gerónimo Uribe Bravo
This paper presents a novel formula for the transition density of the Brownian motion on a sphere of any dimension and discusses an algorithm for the simulation of the increments of the spherical Brownian motion based on this formula.
Statistical Mechanics Numerical Analysis Numerical Analysis Probability 65C05
no code implementations • 21 Aug 2018 • Mateusz B. Majka, Aleksandar Mijatović, Lukasz Szpruch
Finally, we provide a weak convergence analysis that covers both the standard and the randomised (inaccurate) drift case.
2 code implementations • 5 Jun 2018 • Jorge Ignacio González Cázares, Aleksandar Mijatović, Gerónimo Uribe Bravo
We exhibit an exact simulation algorithm for the supremum of a stable process over a finite time interval using dominated coupling from the past (DCFTP).
Probability Computation