Recursive computation of the invariant distributions of Feller processes: revisited examples and new applications
DOI10.1515/mcma-2018-2027zbMath1428.60053arXiv1712.04044OpenAlexW2962850313WikidataQ128454485 ScholiaQ128454485MaRDI QIDQ2417974
Publication date: 31 May 2019
Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1712.04044
stochastic approximationMarkov processesinvariant measureslimit theoremergodic theorycensored jump processesmilstein scheme
Stationary stochastic processes (60G10) Probabilistic models, generic numerical methods in probability and statistics (65C20) Transition functions, generators and resolvents (60J35) Jump processes on discrete state spaces (60J74)
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Cites Work
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- Ergodic approximation of the distribution of a stationary diffusion: rate of convergence
- Approximation of the distribution of a stationary Markov process with application to option pricing
- Recursive computation of the invariant distribution of a diffusion
- Computation of the invariant measure for a Lévy driven SDE: Rate of convergence
- Semigroups of linear operators and applications to partial differential equations
- Weak convergence of recursions
- Convergence rate of some semi-groups to their invariant probability
- Jumping SDEs: absolute continuity using monotonicity.
- Convergence and convergence rates for approximating ergodic means of functions of solutions to stochastic differential equations with Markov switching
- An adaptive scheme for the approximation of dissipative systems
- Nonasymptotic convergence analysis for the unadjusted Langevin algorithm
- Recursive computation of the invariant distributions of Feller processes: revisited examples and new applications
- Recursive computation of the invariant measure of a stochastic differential equation driven by a Lévy process
- Antithetic multilevel Monte Carlo estimation for multi-dimensional SDEs without Lévy area simulation
- The parabolic differential equations and the associated semigroups of transformation
- Second-order discretization schemes of stochastic differential systems for the computation of the invariant law
- On the functional central limit theorem and the law of the iterated logarithm for Markov processes
- RECURSIVE COMPUTATION OF THE INVARIANT DISTRIBUTION OF A DIFFUSION: THE CASE OF A WEAKLY MEAN REVERTING DRIFT
- Sur quelques algorithmes récursifs pour les probabilités numériques
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