On ADF goodness-of-fit tests for perturbed dynamical systems
From MaRDI portal
Publication:888487
DOI10.3150/14-BEJ650zbMath1341.60099arXiv1403.7713MaRDI QIDQ888487
Publication date: 30 October 2015
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1403.7713
goodness-of-fit testsdiffusion processesasymptotically distribution free testsCramér-von Mises testsperturbed dynamical systems
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Diffusion processes (60J60) Asymptotic properties of parametric tests (62F05) Markov processes: hypothesis testing (62M02)
Related Items (3)
On score-functions and goodness-of-fit tests for stochastic processes ⋮ On goodness-of-fit tests for parametric hypotheses in perturbed dynamical systems using a minimum distance estimator ⋮ How to test that a given process is an Ornstein-Uhlenbeck process
Cites Work
- Unnamed Item
- Unnamed Item
- Martingale Approach in the Theory of Goodness-of-Fit Tests
- On asymptotic distribution of parameter free tests for ergodic diffusion processes
- On asymptotically distribution free tests with parametric hypothesis for ergodic diffusion processes
- Goodness-of-fit tests for perturbed dynamical systems
- Asymptotic expansions of Bayes estimators for small diffusions
- Semiparametric hypotheses testing for dynamical systems with small noise
- Goodness-of-fit tests for parametric hypotheses on the distribution of point processes
- Asymptotic expansions for perturbed systems on Wiener space: Maximum likelihood estimators
- On approximation of the backward stochastic differential equation
- Representation of Gaussian processes equivalent to Wiener process
- Radon-Nikodym Derivatives of Gaussian Measures
- The Cramer-Smirnov Test in the Parametric Case
This page was built for publication: On ADF goodness-of-fit tests for perturbed dynamical systems