Results 1 to 10 of about 335,198 (152)

Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data

Econometrics, 2015
This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in ...
Chi-Yang Chu, Daniel J. Henderson, Christopher F. Parmeter   +2 more
doaj   +3 more sources

Disentangling the Evolutionary Cause–Effect Relationships of Environment, Sexual Selection, and Body Size With Birdsong Frequency [PDF]

Ecology and Evolution
Multiple selection pressures act simultaneously and interactively to shape trait evolution, yet their combined effects are often overlooked. We used Phylogenetic Path Analysis to examine the causal relationships between birdsong frequency, body size ...
Hector Fabio Rivera‐Gutierrez, Osvaldo Alexander Gomez‐Gomez, Valentina Montoya‐Jaramillo, Felipe A. Toro‐Cardona, Paula Pinzon‐Cardenas   +4 more
doaj   +2 more sources

ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R [PDF]

Journal of Statistical Software, 2007
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.
Tarn Duong
doaj   +1 more source

Conditional Kaplan–Meier Estimator with Functional Covariates for Time-to-Event Data

Stats, 2022
Due to the wide availability of functional data from multiple disciplines, the studies of functional data analysis have become popular in the recent literature. However, the related development in censored survival data has been relatively sparse.
Sudaraka Tholkage, Qi Zheng, Karunarathna B. Kulasekera   +2 more
doaj   +1 more source

A Wind Power Probabilistic Model Using the Reflection Method and Multi-Kernel Function Kernel Density Estimation

Energies, 2022
This paper proposes a wind power probabilistic model (WPPM) using the reflection method and multi-kernel function kernel density estimation (KDE).
Juseung Choi, Hoyong Eom, Seung-Mook Baek   +2 more
doaj   +1 more source

Edge-Preserving Denoising of Image Sequences

Entropy, 2021
To monitor the Earth’s surface, the satellite of the NASA Landsat program provides us image sequences of any region on the Earth constantly over time.
Fan Yi, Peihua Qiu
doaj   +1 more source

lpdensity: Local Polynomial Density Estimation and Inference

Journal of Statistical Software, 2022
Density estimation and inference methods are widely used in empirical work. When the underlying distribution has compact support, conventional kernel-based density estimators are no longer consistent near or at the boundary because of their well-known ...
Matias D. Cattaneo, Michael Jansson, Xinwei Ma   +2 more
doaj   +1 more source

Bandwidth Selection for Prediction in Regression

Proceedings, 2019
There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then the existing methods can easily be ...
Inés Barbeito, Ricardo Cao, Stefan Sperlich   +2 more
doaj   +1 more source

Flow Admission Control for Users Considering Dissatisfactions With Selection Errors and Loss Using Stochastic Evolutionary Game and Queueing Theory

IEEE Access, 2023
Currently, streaming communications are widespread through YouTube and other media. Streaming communication focuses on real-time communication and requires flow admission control to ensure communication quality.
Sumiko Miyata, Taichi Kojima
doaj   +1 more source

Automatic bandwidth selection for circular density estimation [PDF]

, 2008
Given angular data θ1,…,θn[0,2π) a common objective is to estimate the density. In case that a kernel estimator is used, bandwidth selection is crucial to the performance.
Taylor, C.C.
core   +2 more sources