Semi-parametric second-order efficient estimation of the period of a signal
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Publication:2469658
DOI10.3150/07-BEJ5077zbMath1129.62076arXiv0711.3955MaRDI QIDQ2469658
Publication date: 6 February 2008
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0711.3955
penalized maximum likelihoodsemi-parametric estimationsecond-order efficiencyexact minimax asymptoticsunknown period
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09) Minimax procedures in statistical decision theory (62C20)
Related Items (4)
Semiparametric shift estimation based on the cumulated periodogram for non-regular functions ⋮ Estimation of the distribution of random shifts deformation ⋮ A semiparametric Bernstein-von Mises theorem for Gaussian process priors ⋮ Curve registration by nonparametric goodness-of-fit testing
Cites Work
- Unnamed Item
- Estimating the period of a signal of unknown shape corrupted by white noise
- Optimal filtering of square-integrable signals in Gaussian noise
- On adaptive smoothing in partial linear models
- Second order minimax estimation in partial linear models
- Applications of the van Trees inequality: A Bayesian Cramér-Rao bound
- Stein shrinkage and second-order efficiency for semiparametric estimation of the shift
- Penalized maximum likelihood and semiparametric second-order efficiency
- Hidden Frequency Estimation with Data Tapers
- Efficient Semiparametric Estimation of the Periods in a Superposition of Periodic Functions with Unknown Shape
- Asymptotic Statistics
- Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- Introduction to nonparametric estimation
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