Results 1 to 10 of about 59,222 (301)
New Bandwidth Selection for Kernel Quantile Estimators [PDF]
Journal of Probability and Statistics, 2012 We propose a cross-validation method suitable for smoothing of kernel quantile estimators. In particular, our proposed method selects the bandwidth parameter, which is known to play a crucial role in kernel smoothing, based on unbiased estimation of a ...
Ali Al-Kenani, Keming Yu
doaj +6 more sources
Bandwidth Selection for Prediction in Regression [PDF]
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 +2 more
doaj +3 more sources
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 +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 EvolutionMultiple 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 +4 more
doaj +2 more sources
Bandwidth Selection for Kernel Density Estimation
Annals of Statistics, 1991 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly +3 more sources
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 +2 more
doaj +1 more source
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 +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
Bandwidth selection for the Wolverton–Wagner estimator
Journal of Statistical Planning and Inference, 2020 26 pages, 5 ...
Fabienne Comte, Nicolas Marie
openaire +3 more sources
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 +2 more
doaj +1 more source