Nonparametric Estimation for a Class of Piecewise-Deterministic Markov Processes
From MaRDI portal
Publication:5407018
DOI10.1239/jap/1389370091zbMath1429.62365OpenAlexW2009969275MaRDI QIDQ5407018
Publication date: 4 April 2014
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.jap/1389370091
local timestationary densitynonparametric estimationuniform consistencypiecewise-deterministic Markov process
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Markov processes: estimation; hidden Markov models (62M05) Local time and additive functionals (60J55)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric statistics for stochastic processes. Estimation and prediction.
- Statistical inference for ergodic diffusion processes.
- Local time and density estimation in continuous time
- Weak convergence of some classes of martingales with jumps.
- Weak convergence and empirical processes. With applications to statistics
- Some problems in nonparametric inference for the stress release process related to the local time
- Efficient density estimation for ergodic diffusion processes
- On level crossings for a general class of piecewise-deterministic Markov processes
- On a problem of necessary and sufficient conditions in the functional central limit theorem for local martingales
- Level Crossings in Point Processes Applied to Queues: Single-Server Case
- Ergodicity properties of stress release, repairable system and workload models
- On Crossings of Levels and Curves by a Wide Class of Stochastic Processes
- Mathematical Analysis of Random Noise
- On the uniform convergence of the empirical density of an ergodic diffusion
This page was built for publication: Nonparametric Estimation for a Class of Piecewise-Deterministic Markov Processes