The following pages link to KernSmooth (Q16757):
Displaying 50 items.
- Locally parametric nonparametric density estimation (Q1354395) (← links)
- mgcViz (Q1354476) (← links)
- On identity reproducing nonparametric regression estimators (Q1359803) (← links)
- Local polynomial regression: Optimal kernels and asymptotic minimax efficiency (Q1370531) (← links)
- On the effect of inliers on the spatial median (Q1372219) (← links)
- On close relations of local likelihood density estimation (Q1372569) (← links)
- Interpolation methods for nonlinear wavelet regression with irregularly spaced design (Q1374217) (← links)
- On choosing a non-integer resolution level when using wavelet methods (Q1380623) (← links)
- Universal smoothing factor selection in density estimation: theory and practice. (With discussion) (Q1382944) (← links)
- Optimal design for curve estimation by local linear smoothing (Q1385003) (← links)
- A combined adaptive-mixtures/plug-in estimator of multivariate probability densities (Q1389399) (← links)
- Nonparametric option pricing under shape restrictions (Q1398968) (← links)
- An interpolation method for adapting to sparse design in multivariate nonparametric regression (Q1400122) (← links)
- Estimation for nonhomogeneous Poisson processes from aggregated data (Q1400348) (← links)
- Comparative analysis of different approaches to target differentiation and localization with sonar (Q1402685) (← links)
- Reducing variance in nonparametric surface estimation (Q1403424) (← links)
- Nonparametric prediction by conditional median and quantiles (Q1410280) (← links)
- Kernel density estimation of actuarial loss functions (Q1413381) (← links)
- Local M-estimator for nonparametric time series. (Q1423066) (← links)
- On the asymptotic normality of multistage integrated density derivatives kernel estimators. (Q1423129) (← links)
- The functional nonparametric model and applications to spectrometric data (Q1424620) (← links)
- Nonparametric quantile estimation with correlated failure time data (Q1425056) (← links)
- Estimating multiplicative and additive hazard functions by kernel methods (Q1429313) (← links)
- A general projection framework for constrained smoothing. (Q1431205) (← links)
- A consistent test for the functional form of a regression based on a difference of variance estimators (Q1568309) (← links)
- Statistical estimation in varying coefficient models (Q1578274) (← links)
- Combining different procedures for adaptive regression (Q1582634) (← links)
- Local nonlinear least squares: using parametric information in nonparametric regression (Q1588305) (← links)
- Alternating kernel and mixture density estimates. (Q1589487) (← links)
- Rate of convergence of a convolution-type estimator of the marginal density of a MA(1) process (Q1593614) (← links)
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors (Q1596116) (← links)
- Exploring efficiency differences over time in the Spanish banking industry (Q1598742) (← links)
- Smooth estimation of multivariate survival and density functions (Q1600730) (← links)
- Multivariate locally adaptive density estimation. (Q1605371) (← links)
- Parallel distributed kernel estimation (Q1608905) (← links)
- The complementary beta distribution (Q1611781) (← links)
- A unified treatment of direct and indirect estimation of a probability density and its derivatives (Q1612997) (← links)
- On moment inequalities of the supremum of empirical processes with applications to kernel estimation (Q1613069) (← links)
- \(\vec \alpha\)PDE: A new multivariate technique for parameter estimation (Q1613718) (← links)
- An additive penalty \(P\)-spline approach to derivative estimation (Q1615126) (← links)
- A nonparametric measure of local association for two-way contingency tables (Q1615134) (← links)
- Mean field variational Bayesian inference for nonparametric regression with measurement error (Q1615163) (← links)
- Extracting a common signal in tree ring widths with a semi-parametric Bayesian hierarchical model (Q1618207) (← links)
- Bandwidth selection for kernel density estimation: a review of fully automatic selectors (Q1621254) (← links)
- Model-based clustering via linear cluster-weighted models (Q1621292) (← links)
- Prediction model-based kernel density estimation when group membership is subject to missing (Q1622107) (← links)
- Reducing the computational cost of the ECF using a nuFFT: a fast and objective probability density estimation method (Q1623676) (← links)
- Ridge-based method for finding curvilinear structures from noisy data (Q1623743) (← links)
- Uniform in bandwidth consistency of nonparametric regression based on copula representation (Q1640948) (← links)
- On the utility of asymptotic bandwidth selectors for spatially adaptive kernel density estimation (Q1642252) (← links)
