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Non-Parametric Estimation of a Multivariate Probability Density
, 1969V. A. Epanechnikov
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Parametric Spectral Estimation
2002Purpose The use of the periodogram empirical spectrum estimator or of the smoothed periodogram is not well-suited to some situations, in particular when only a small number of autocovariance coefficients of the process being studied are available from the observation.
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Parametric Estimation Algorithms
2004The present chapter is devoted to the presentation and use of many algorithms used for parametric identification. Many of them are based on variants of least squares using gradient techniques. Various input sequences used for system excitation in view of model identification are detailed. Several examples of identification are given.
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Importance sampling for parametric estimation
Proceedings of the 2010 Winter Simulation Conference, 2010Xiaojin Tang, Pirooz Vakili
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Density estimation using non-parametric and semi-parametric mixtures
Statistical Modelling, 2012Chew-Seng Chee
exaly
Non-parametric Kernel Estimation of the Coefficient of a Diffusion
Scandinavian Journal of Statistics, 2000Jean Jacod
exaly