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This paper considers the problem of computing Bayesian estimates of both states and model parameters for nonlinear state-space models. Generally, this problem does not have a tractable solution and approximations must be utilised. In this…

Machine Learning · Statistics 2020-12-15 Jarrad Courts , Johannes Hendriks , Adrian Wills , Thomas Schön , Brett Ninness

A rate-independent model coupling small strain associative elasto-plasticity and damage is studied via a 'vanishing-viscosity' analysis with respect to all the variables describing the system. This extends the analysis performed for the…

Analysis of PDEs · Mathematics 2019-10-10 Vito Crismale , Riccarda Rossi

We consider the problem of obtaining effective representations for the solutions of linear, vector-valued stochastic differential equations (SDEs) driven by non-Gaussian pure-jump L\'evy processes, and we show how such representations lead…

Probability · Mathematics 2023-11-09 Marcos Tapia Costa , Ioannis Kontoyiannis , Simon Godsill

Recently, there has been substantial interest in statistical guarantees for cross-validation (CV) methods of uncertainty quantification in statistical learning (cf. Barber et al. 2021a, Liang and Barber 2024, Steinberger and Leeb 2023).…

Statistics Theory · Mathematics 2025-05-09 Nicolai Amann , Hannes Leeb , Lukas Steinberger

We consider a slow-fast stochastic differential system with L\'evy noise. We will employ the perturbed test function method to study the normal deviation of the slow-fast system. Our main result states that the deviation can be approximated…

Probability · Mathematics 2024-03-13 Xiaoyu Yang , Yong Xu , Ruifang Wang , Zhe Jiao

We suppose that a L\'evy process is observed at discrete time points. Starting from an asymptotically minimax family of estimators for the continuous part of the L\'evy Khinchine characteristics, i.e., the covariance, we derive a…

Statistics Theory · Mathematics 2020-12-01 Katerina Papagiannouli

In this paper, the successive approximation method is applied to investigate the existence and uniqueness of solutions to the stochastic differential equations (SDEs) driven by L\'evy noise under non-Lipschitz condition which is a much…

Dynamical Systems · Mathematics 2014-05-15 Y Xu , B Pei

We study a certain class of weak solutions to rate-independent systems, which is constructed by using the local minimality in a small neighborhood of order $\varepsilon$ and then taking the limit $\varepsilon \to 0$. We show that the…

Analysis of PDEs · Mathematics 2016-02-11 Mach Nguyet Minh

This paper is concerned with the initial-boundary value problem for a nonlinear hyperbolic system of conservation laws. We study the boundary layers that may arise in approximations of entropy discontinuous solutions. We consider both the…

Analysis of PDEs · Mathematics 2009-11-13 K. T. Joseph , Philippe G. LeFloch

We present a stochastic and variational aspect of the Lax-Friedrichs scheme applied to hyperbolic scalar conservation laws. This is a finite difference version of Fleming's results ('69) that the vanishing viscosity method is characterized…

Numerical Analysis · Mathematics 2012-05-11 Kohei Soga

The pricing of options in exponential Levy models amounts to the computation of expectations of functionals of Levy processes. In many situations, Monte-Carlo methods are used. However, the simulation of a Levy process with infinite Levy…

Computational Finance · Quantitative Finance 2014-02-07 El Hadj Aly Dia

The author presented a stochastic and variational approach to the Lax-Friedrichs finite difference scheme applied to hyperbolic scalar conservation laws and the corresponding Hamilton-Jacobi equations with convex and superlinear…

Numerical Analysis · Mathematics 2018-03-26 Kohei Soga

In this article, we introduce a time-independent version of the L\'evy colored noise considered in Balan (2015) and Balan and Jim\'enez (2026). We study the existence of the solution of a linear stochastic partial differential equation with…

Probability · Mathematics 2026-04-29 Raluca M. Balan , Jinxin Wang

It is common practice to treat small jumps of L\'evy processes as Wiener noise and thus to approximate its marginals by a Gaussian distribution. However, results that allow to quantify the goodness of this approximation according to a given…

Statistics Theory · Mathematics 2019-04-03 Alexandra Carpentier , Céline Duval , Ester Mariucci

By extending to the stochastic setting the classical vanishing viscosity approach we prove the existence of suitably weak solutions of a class of nonlinear stochastic evolution equation of rate-independent type. Approximate solutions are…

Probability · Mathematics 2023-07-27 Luca Scarpa , Ulisse Stefanelli

For a sequence $\dot{L}^{\varepsilon}$ of L\'evy noises with variance $\sigma^2(\varepsilon)$, we prove the Gaussian approximation of the solution $u^{\varepsilon}$ to the stochastic wave equation driven by $\sigma^{-1}(\varepsilon)…

Probability · Mathematics 2021-06-24 Thomas Delerue

In this paper, we solve nonlinear conservation laws using the radial basis function generated finite difference (RBF-FD) method. Nonlinear conservation laws have solutions that entail strong discontinuities and shocks, which give rise to…

Numerical Analysis · Mathematics 2022-04-06 Igor Tominec , Murtazo Nazarov

We consider generalized gradient systems with rate-independent and rate-dependent dissipation potentials. We provide a general framework for performing a vanishing-viscosity limit leading to the notion of parametrized and true…

Analysis of PDEs · Mathematics 2021-12-06 Alexander Mielke , Riccarda Rossi

We consider a semi-discrete finite volume scheme for a degenerate fractional conservation laws driven by a cylindrical Wiener process. Making use of the bounded variation (BV) estimates, Young measure theory, and a clever adaptation of…

Analysis of PDEs · Mathematics 2022-02-23 Ujjwal Koley , Guy Vallet

In this article, the existence of a unique solution in the variational approach of the stochastic evolution equation $$\dX(t) = F(X(t)) \dt + G(X(t)) \dL(t)$$ driven by a cylindrical L\'evy process $L$ is established. The coefficients $F$…

Probability · Mathematics 2019-12-17 Tomasz Kosmala , Markus Riedle