Nonparametric estimation for i.i.d. Gaussian continuous time moving average models
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Publication:2040942
DOI10.1007/s11203-020-09228-yzbMath1469.62219OpenAlexW3088313320MaRDI QIDQ2040942
Valentine Genon-Catalot, Fabienne Comte
Publication date: 15 July 2021
Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11203-020-09228-y
model selectionGaussian processesnonparametric estimationprojection estimatorscontinuous time moving average
Gaussian processes (60G15) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09)
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- Minimum contrast estimators on sieves: Exponential bounds and rates of convergence
- Applied functional data analysis. Methods and case studies
- Laguerre and Hermite bases for inverse problems
- Low-frequency estimation of continuous-time moving average Lévy processes
- Adaptive estimation of a quadratic functional by model selection.
- Long memory continuous time models
- Adaptive Laguerre density estimation for mixed Poisson models
- Adaptive Estimation for Lévy Processes
- High-frequency sampling and kernel estimation for continuous-time moving average processes
- Well-balanced Lévy driven Ornstein–Uhlenbeck processes
- Mean Convergence of Expansions in Laguerre and Hermite Series
- Introduction to nonparametric estimation