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Adaptive Estimation for the Distribution Model of Golden Apple Snail (Pomacea canaliculata (Lamarck)) Pests Using Kernel and Spline Smoothers with Goldenshluger-Lepski Method

Zulfikar Zulfikar
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Kernel Smoothing

, 1995
M. Wand, M. C. Jones
semanticscholar   +2 more sources

Asymmetric Kernel Smoothing

, 2018
Masayuki Hirukawa
semanticscholar   +2 more sources

Kernel Smoothing Methods

, 2016
M. Hazelton
semanticscholar   +2 more sources

Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package

Computational statistics (Zeitschrift), 2022
Kernel smoothers are essential tools for data analysis due to their ability to convey complex statistical information with concise graphical visualisations.
Tarn Duong
semanticscholar   +1 more source

Distributed Implementation of Heat Kernel Smoothing for Graph Signal Denoising

Midwest Symposium on Circuits and Systems, 2022
In this paper, a graph signal denoising method based on heat kernel smoothing (HKS) and its distributed implementation structures are investigated. First, the graph signal denoising problem and HKS method are briefly described.
C. Tseng, Su-Ling Lee
semanticscholar   +1 more source

Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing

, 2012
I. Horová, J. Koláček, J. Zelinka
semanticscholar   +2 more sources

Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution

International Statistical Review, 2019
We propose a computationally efficient and statistically principled method for kernel smoothing of point pattern data on a linear network. The point locations, and the network itself, are convolved with a two‐dimensional kernel and then combined into an ...
S. Rakshit, Tilman M. Davies, M. Moradi, Greg McSwiggan, Gopalan M. Nair, J. Mateu, A. Baddeley   +6 more
semanticscholar   +1 more source