Berry–Esseen inequalities for discretely observed diffusions
DOI10.1515/MCMA.2009.013zbMath1179.60011MaRDI QIDQ3654437
Publication date: 6 January 2010
Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)
diffusion processdiscrete observationsItô stochastic differential equationconditional least squares estimatorapproximate maximum likelihood estimatorsmoderately increasing experimental design
Asymptotic properties of parametric estimators (62F12) Central limit and other weak theorems (60F05) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Diffusion processes (60J60) Large deviations (60F10)
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Cites Work
- The consistency of a nonlinear least squares estimator from diffusion processes
- Estimation for diffusion processes from discrete observation
- A note on asymptotic properties of the estimator derived from the Euler method for diffusion processes at discrete times
- Rates of convergence of approximate maximum likelihood estimators in the Ornstein-Uhlenbeck process
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