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The Estimation of Smoothing Parameter using Smoothing Techniqueson Nonparametric Regression
20121, 6, Silpakorn University Science and Technology ...
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Iterative estimates for a smoothing parameter
Statistics & Probability Letters, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Smoothing Parameter Selection in Image Restoration
1991We consider the problem of the automatic selection of the smoothing parameter in image restoration using the method of regularisation. We consider two new smoothing parameter selectors based on the estimation cross-validation function and compare their performance with some others proposed in the literature and also with some optimal methods.
K. P.-S. Chan, J. W. Kay
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Bayesian sampling for smoothing parameter estimation
2017Kernel density estimation is one of the most important techniques for understanding the distributional properties of data. It is understood that the effectiveness of such approach depends on the choice of a kernel function and the choice of a smoothing parameter (bandwidth).
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Data-Driven Choice of Smoothing Parameters
1997This chapter is devoted to the problem of choosing the smoothing parameter of a nonparametric regression estimator, a problem that plays a major role in the remainder of this book. We will use S to denote a generic smoothing parameter when we are not referring to a particular type of smoother.
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Kalman smoothing with persistent nuisance parameters
2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2014A. Aravkin +2 more
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