Efficient estimation of spectral functionals for continuous-time stationary models
DOI10.1007/s10440-011-9617-7zbMath1327.62209OpenAlexW1967671768MaRDI QIDQ634700
Publication date: 16 August 2011
Published in: Acta Applicandae Mathematicae (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10440-011-9617-7
singularitiesspectral densityasymptotic boundscontinuous-time stationary processefficient nonparametric estimationlocal asymptotic normality (LAN)spectral functionals
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Stationary stochastic processes (60G10) Inference from stochastic processes and spectral analysis (62M15)
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Cites Work
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- Contributions to a general asymptotic statistical theory. With the assistance of W. Wefelmeyer
- Parameter estimation and hypothesis testing in spectral analysis of stationary time series. Transl. from the Russian by Samuel Kotz
- Asymptotically efficient nonparametric estimation of functionals of a spectral density function
- Asymptotic methods in statistical decision theory
- Asymptotically normal families of distributions and efficient estimation
- Optimal plug-in estimators for nonparametric functional estimation
- Statistical inference for spatial Poisson processes
- On Toeplitz type quadratic functionals of stationary Gaussian processes
- Carleson curves, Muckenhoupt weights, and Toeplitz operators
- Asymptotically efficient nonparametric estimation of nonlinear spectral functionals
- Statistical inference for ergodic diffusion processes.
- Asymptotic theory of statistical inference for time series
- Conditions of local asymptotic normality for Gaussian stationary processes
- Asymptotically optimal estimation in misspecified time series models
- On Consistent Estimates of the Spectrum of a Stationary Time Series
- Asymptotically Efficient Nonparametric Estimation of Functionals of a Spectral Density Having Zeros
- Non-parametric applications of an infinite dimensional convolution theorem
- Infinite-Dimensional Informational Inequalities
- On Estimating the Value of a Linear Functional of the Spectral Density of a Gaussian Stationary Process
- Asymptotic inference in stationary Gaussian time-series
- A characterization of limiting distributions of regular estimates
- Weighted Norm Inequalities for the Conjugate Function and Hilbert Transform
- Locally asymptotically normal families of Gaussian distributions.
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