activity
20072024
most citedThe exponential Lie series for continuous semimartingales

50 citations · 137 across the 16 of their papers we have counts for

collaborators

18 papers

stat.CO2024

Direct Inversion for Chi-Square Sampling, the Squared Bessel Process, and Applications

Simon J. A. Malham, Anke Wiese, Yifan Xu

In this paper we derive a new direct inversion method to simulate squared Bessel processes. Since the transition probability of these processes can be represented by a non-central…

math.PR2024

The Exponential Lie Series and a Chen-Strichartz Formula for Levy Processes

Kurusch Ebrahimi-Fard, Frederic Patras, Anke Wiese

In this paper, we derive a Chen-Strichartz formula for stochastic differential equations driven by Levy processes, that is, we derive a series expansion of the logarithm of the flo…

math.AP2022★ 6 cited

Applications of Grassmannian flows to coagulation systems

Anastasia Doikou, Simon J. A. Malham, Ioannis Stylianidis +1

We demonstrate how many classes of Smoluchowski-type coagulation models can be realised as multiplicative Grassmannian flows and are therefore linearisable, and thus integrable in…

q-fin.PR2020

Series expansions and direct inversion for the Heston model

Simon J. A. Malham, Jiaqi Shen, Anke Wiese

Efficient sampling for the conditional time integrated variance process in the Heston stochastic volatility model is key to the simulation of the stock price based on its exact dis…

math-ph2020

Time evolution in quantum systems and stochastics

Anastasia Doikou, Simon J. A. Malham, Anke Wiese

The time evolution problem for non-self adjoint second order differential operators is studied by means of the path integral formulation. Explicit computation of the path integral…

math.AP2019

Applications of Grassmannian flows to integrable systems

Anastasia Doikou, Simon J. A. Malham, Ioannis Stylianidis +1

We show how many classes of partial differential systems with local and nonlocal nonlinearities are linearisable in the sense that they are realisable as Fredholm Grassmannian flow…