Asymptotic theory for estimating the parameters of a Levy process
From MaRDI portal
Publication:1167500
DOI10.1007/BF02481026zbMath0491.62070OpenAlexW2058981159MaRDI QIDQ1167500
Publication date: 1982
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02481026
consistencyasymptotic normalitymaximum likelihood estimatorsLevy measureLevy process of discontinuous type
Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Markov processes: estimation; hidden Markov models (62M05)
Related Items (4)
Nonparametric inference for discretely sampled Lévy processes ⋮ Weighted empirical processes in the nonparametric inference for Lévy processes ⋮ Nonparametric estimation of the characteristic triplet of a discretely observed Lévy process ⋮ An oracle inequality for penalised projection estimation of Lévy densities from high-frequency observations
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Asymptotic inference in Levy processes of the discontinuous type
- Radon-Nikodym derivatives with respect to measures induced by discontinuous independent-increment processes
- Maximum likelihood estimation for Markov processes
- Asymptotic relations between the likelihood estimating function and the maximum likelihood estimator
- The distribution of the likelihood ratio for additive processes
- Uniform Convergence of Random Functions with Applications to Statistics
- Estimating the Parameters of a Differential Process
- Emptiness times of a dam with stable input and general release function
- Inference for gamma and stable processes
- Variations of processes with stationary, independent increments
- THE WORK OF A. N. KOLMOGOROV IN THE THEORY OF PROBABILITY
- Note on the Consistency of the Maximum Likelihood Estimate
This page was built for publication: Asymptotic theory for estimating the parameters of a Levy process