Results 11 to 20 of about 4,500 (154)
Automatic search intervals for the smoothing parameter in penalized splines. [PDF]
Stat Comput, 2023 R code is available at https://github.com/ZheyuanLi/gps-vignettes/blob/main/gps2 ...
Li Z, Cao J.
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SEMIPARAMETRIC PENALIZED SPLINE REGRESSION [PDF]
Bulletin of informatics and cybernetics, 2012 In this paper, we propose a new semiparametric regression estimator by using a hybrid technique of a parametric approach and a nonparametric penalized spline method. The overall shape of the true regression function is captured by the parametric part, while its residual is consistently estimated by the nonparametric part.
Yoshida, Takuma, Naito, Kanta
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Dynamic Penalized Splines for Streaming Data
Statistica Sinica, 2022 Summary: We propose a dynamic version of the penalized spline regression designed for streaming data that allows for the insertion of new knots dynamically based on sequential updates of the summary statistics. A new theory using direct functional methods rather than the traditional matrix analysis is developed to attain the optimal convergence rate in
Xue, Dingchuan, Yao, Fang
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Stats, 2021 Functional data analysis techniques, such as penalized splines, have become common tools used in a variety of applied research settings. Penalized spline estimators are frequently used in applied research to estimate unknown functions from noisy data ...
Lauren N. Berry, Nathaniel E. Helwig
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Penalized regression splines in Mixture Density Networks
The International Journal of Biostatistics, 2022 Abstract Mixture Density Networks (MDN) belong to a class of models that can be applied to data which cannot be sufficiently described by a single distribution since it originates from different components of the main unit and therefore needs to be described by a mixture of densities.
Seifert, Quentin Edward +6 more
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Modeling latent spatio-temporal disease incidence using penalized composite link models.
PLoS ONE, 2022 Epidemiological data are frequently recorded at coarse spatio-temporal resolutions to protect confidential information or to summarize it in a compact manner.
Dae-Jin Lee +3 more
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Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal
Mathematics, 2021 Motivated by mapping adverse artifactual events caused by body movements in electroencephalographic (EEG) signals, we present a functional independent component analysis based on the spectral decomposition of the kurtosis operator of a smoothed principal
Marc Vidal +2 more
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Mathematics, 2020 Rock art paintings present high sensitivity to light, and an exhaustive evaluation of the potential color degradation effects is essential for further conservation and preservation actions on these rock art systems.
Gabriel Riutort-Mayol +3 more
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Semiparametric Additive Beta Regression Models
Revstat Statistical Journal, 2021 In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
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Fast Adaptive Penalized Splines
Journal of Computational and Graphical Statistics, 2008 This article proposes a numerically simple method for locally adaptive smoothing. The heterogeneous regression function is modeled as a penalized spline with a varying smoothing parameter modeled as another penalized spline. This is formulated as a hierarchical mixed model, with spline coefficients following zero mean normal distribution with a smooth ...
Krivobokova, Tatyana +2 more
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