\(p\)-variation of strong Markov processes.
From MaRDI portal
Publication:1879814
DOI10.1214/009117904000000423zbMath1052.60058arXivmath/0410106OpenAlexW1503596345MaRDI QIDQ1879814
Publication date: 15 September 2004
Published in: The Annals of Probability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/math/0410106
Continuous-time Markov processes on general state spaces (60J25) Stopping times; optimal stopping problems; gambling theory (60G40) Sample path properties (60G17) Transition functions, generators and resolvents (60J35)
Related Items (9)
Random walks and Lévy processes as rough paths ⋮ Maximal inequalities and some applications ⋮ Rough semimartingales and \(p\)-variation estimates for martingale transforms ⋮ From Markov processes to semimartingales ⋮ Differential equations driven by rough paths with jumps ⋮ Rough functions: \(p\)-variation, calculus, and index estimation ⋮ Uniform dimension results for a family of Markov processes ⋮ First order \(p\)-variations and Besov spaces ⋮ Lower bounds of the Hausdorff dimension for the images of Feller processes
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fréchet differentiability, \(p\)-variation and uniform Donsker classes
- Processes that can be embedded in Brownian motion
- Differential equations driven by rough signals
- Differentiability of six operators on nonsmooth functions and \(p\)-variation. With the collaboration of Jinghua Qian
- Stochastic integral equations without probability
- Gaussian measures in \(B_p^1\)
- Exact asymptotic estimates of Brownian path variation
- Strong variation for the sample functions of a stable process
- An Extended Markov Property
- Some Theorems on Stable Processes
- Real Analysis and Probability
- Le Mouvement Brownien Plan
- Continuity Properties of Sample Functions of Markov Processes
This page was built for publication: \(p\)-variation of strong Markov processes.