Cramér-type moderate deviations for the log-likelihood ratio of inhomogeneous Ornstein-Uhlenbeck processes
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Publication:2107585
DOI10.1016/j.spl.2022.109690zbMath1503.60032OpenAlexW4296639370MaRDI QIDQ2107585
Publication date: 2 December 2022
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2022.109690
Gaussian processes (60G15) Parametric hypothesis testing (62F03) Large deviations (60F10) Markov processes: hypothesis testing (62M02)
Cites Work
- Explicit formulas for Laplace transforms of certain functionals of some time inhomogeneous diffusions
- Large and moderate deviations in testing time inhomogeneous diffusions
- Cramér type moderate deviation theorems for self-normalized processes
- Nearly unstable family of stochastic processes given by stochastic differential equations with time delay
- Large deviations in testing fractional Ornstein-Uhlenbeck models
- Self-normalized Cramér type moderate deviations for stationary sequences and applications
- Asymptotic properties for the parameter estimation in Ornstein-Uhlenbeck process with discrete observations
- On large deviation expansion for log-likelihood ratio of non-homogeneous Ornstein-Uhlenbeck processes
- On a multivariate version of Bernstein's inequality
- Deviation inequalities and Cramér-type moderate deviations for the explosive autoregressive process
- Mod-ϕ Convergence
- Sharp Large Deviations for the Ornstein--Uhlenbeck Process
- Cramér-type moderate deviations for the likelihood ratio process of Ornstein–Uhlenbeck process with shift
- Cramér-type moderate deviations for statistics in the non-stationary Ornstein–Uhlenbeck process
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