The following pages link to KernSmooth (Q16757):
Displaying 50 items.
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models (Q850718) (← links)
- Nonparametric inference from the M/G/1 workload (Q850769) (← links)
- A maximum entropy method for particle filtering (Q852048) (← links)
- Possibility theoretic clustering and its preliminary application to large image segmentation (Q855225) (← links)
- Non-parametric kernel regression for multinomial data (Q855913) (← links)
- Information cut for clustering using a gradient descent approach (Q856432) (← links)
- Lectures on empirical processes. Theory and statistical applications. (Q859463) (← links)
- The Cauchy--Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels (Q860375) (← links)
- A color image segmentation approach for content-based image retrieval (Q866704) (← links)
- A variable bandwidth selector in multivariate kernel density estimation (Q876996) (← links)
- Families of distributions arising from distributions of order statistics (Q882919) (← links)
- Bridge estimators and the adaptive Lasso under heteroscedasticity (Q893067) (← links)
- Robust likelihood inference for regression parameters in partially linear models (Q901546) (← links)
- A flexible extreme value mixture model (Q901607) (← links)
- Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis (Q903578) (← links)
- On the use of particle swarm optimization and kernel density estimator in concurrent negotiations (Q903627) (← links)
- Boosting local quasi-likelihood estimators (Q904088) (← links)
- Nonparametric estimation of a conditional distribution from length-biased data (Q904093) (← links)
- A nonparametric model for spot price dynamics and pricing of futures contracts in electricity markets (Q905391) (← links)
- Relative error prediction via kernel regression smoothers (Q935419) (← links)
- Inverse beta transformation in kernel density estimation (Q947174) (← links)
- \(k\)-sample test based on the common area of kernel density estimators (Q951064) (← links)
- Computational aspects of nonparametric smoothing with illustrations from the \texttt{sm} library (Q951888) (← links)
- 3D visual data mining -- goals and experiences (Q951938) (← links)
- Nonlinear statistical process monitoring based on control charts with memory effect and kernel independent component analysis (Q954510) (← links)
- Analysis of variance, coefficient of determination and \(F\)-test for local polynomial regression (Q955131) (← links)
- Weak convergence of the supremum distance for supersmooth kernel deconvolution (Q956369) (← links)
- Integrated squared error estimation of normal mixtures (Q956784) (← links)
- Practical bandwidth selection in deconvolution kernel density estimation (Q956830) (← links)
- An evaluation of non-parametric relative risk estimators for disease maps (Q956989) (← links)
- Discriminant analysis with independently repeated multivariate measurements: an \(L^2\) approach (Q957064) (← links)
- Kernel weighted influence measures (Q957128) (← links)
- A data-based method for selecting tuning parameters in minimum distance estimators (Q957136) (← links)
- Parzen windows for multi-class classification (Q958247) (← links)
- Inferences from biased samples with a memory effect (Q958802) (← links)
- Local linear regression for functional predictor and scalar response (Q958910) (← links)
- Nonparametric density estimation and clustering in astronomical sky surveys (Q959201) (← links)
- Data-driven boundary estimation in deconvolution problems (Q959284) (← links)
- A Bayesian approach to bandwidth selection for multivariate kernel density estimation (Q959388) (← links)
- Bandwidth selection for a class of difference-based variance estimators in the nonparametric regression: a possible approach (Q959419) (← links)
- The missing censoring indicator model and the smoothed bootstrap (Q961134) (← links)
- A bootstrap test for the comparison of nonlinear time series (Q961279) (← links)
- Additive models in censored regression (Q961809) (← links)
- Maximum likelihood kernel density estimation: on the potential of convolution sieves (Q961844) (← links)
- On nonparametric local inference for density estimation (Q962279) (← links)
- Modeling epigenetic modifications under multiple treatment conditions (Q962370) (← links)
- Restoration of images corrupted by Gaussian and uniform impulsive noise (Q962771) (← links)
- Bayesian classifiers based on kernel density estimation: flexible classifiers (Q962861) (← links)
- Moving least-square method in learning theory (Q968963) (← links)
- Asymptotics and optimal bandwidth selection for highest density region estimation (Q973884) (← links)
