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2012, ISBN 9789814405485, xiii, 227
Book
The Annals of Statistics, ISSN 0090-5364, 10/2010, Volume 38, Issue 5, pp. 2916 - 2957
Journal Article
2017, 1st ed., ISBN 9781118456057, 275
Comprehensive theoretical overview of kernel smoothing methods with motivating examples Kernel smoothing is a flexible nonparametric curve estimation method... 
MATHEMATICS | Probability & Statistics | General | Smoothing (Statistics)
eBook
Machine Learning, ISSN 0885-6125, 11/2002, Volume 49, Issue 2, pp. 161 - 178
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2007, Volume 21, Issue 7, pp. 1 - 16
Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.... 
Non-parametric smoothing | Bandwidth selection | Data-driven | CHOICE | non-parametric smoothing | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | data-driven | MATRICES | bandwidth selection | CROSS-VALIDATION | STATISTICS & PROBABILITY
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 2020, Volume 29, pp. 500 - 508
Due to its local property, guided image filter (GIF) generally suffers from halo artifacts near edges. To make up for the deficiency, a weighted guided image... 
Smoothing methods | Filtering | Image edge detection | Noise reduction | Covariance matrices | denoising | dehazing | Microsoft Windows | edge-preserving smoothing | halo artifact | Guided image filter | Kernel | steering kernel | REGRESSION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | BILATERAL FILTER
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 12/2017, Volume 116, pp. 79 - 105
Least-squares cross-validation is commonly used for selection of smoothing parameters in the discrete data setting; however, in many applied situations, it... 
Panel data | Smoothing | Cross-validation | Discrete kernel | REGRESSION | STATISTICS & PROBABILITY | DISTRIBUTIONS | DENSITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | NONPARAMETRIC-ESTIMATION | INTERVALS | PANEL-DATA MODELS | CATEGORICAL-DATA
Journal Article
1995, 1st ed., Monographs on statistics and applied probability (Series), ISBN 9780412552700, Volume 60, xii, 212
Book
Bernoulli, ISSN 1350-7265, 11/2016, Volume 22, Issue 4, pp. 2177 - 2208
Let (X-1, ..., X-n) be an i.i.d. sequence of random variables in R-d, d >= 1. We show that, for any function phi : R-d -> R, under regularity conditions,... 
Central limit theorem; integral approximation; kernel smoothing; nonparametric regression | integral approximation | nonparametric regression | kernel smoothing | STATISTICS & PROBABILITY | central limit theorem | ESTIMATORS | Statistics | Mathematics
Journal Article
Statistics and Probability Letters, ISSN 0167-7152, 09/2016, Volume 116, pp. 72 - 79
In robust nonparametric kernel regression context, we prescribe method to select trimming parameter and bandwidth. Through solving estimating equations, we... 
Outliers | Smoothing | Kernel | Robust | Nonparametric regression | MODELS | STATISTICS & PROBABILITY | BANDWIDTH SELECTION
Journal Article
IEEE Transactions on Information Theory, ISSN 0018-9448, 12/2019, Volume 65, Issue 12, pp. 7976 - 7984
Divergence measures have been used for a long time for different purposes in information theory and statistics. In particular, density-based minimum divergence... 
Smoothing methods | Estimation | Bregman divergence | Bandwidth | single-integral | Robustness | Data models | non-kernel divergence | Mathematical model | Kernel | characterization | LOCATION | TESTS | ROBUSTNESS | COMPUTER SCIENCE, INFORMATION SYSTEMS | MINIMUM HELLINGER DISTANCE | ENGINEERING, ELECTRICAL & ELECTRONIC | MODEL SELECTION | CRITERION | EFFICIENCY
Journal Article
Journal of Mathematical Imaging and Vision, ISSN 0924-9907, 10/2018, Volume 60, Issue 8, pp. 1181 - 1195
Journal Article
Bernoulli, ISSN 1350-7265, 11/2013, Volume 19, Issue 5B, pp. 2557 - 2589
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 03/2007, Volume 102, Issue 477, pp. 255 - 268
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 01/2020, Volume 49, Issue 1, pp. 135 - 151
This paper is focused on kernel estimation of the gradient of a multivariate regression function. Despite the importance of this topic, the progress in this... 
mean integrated square error | 62G08 | Kernel estimation | kernel smoothing | regression function gradient | multivariate regression | constrained bandwidth matrix | Kernels | Regression
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