The following pages link to KernSmooth (Q16757):
Displaying 50 items.
- Semi-supervised learning with the help of Parzen windows (Q640960) (← links)
- Bayesian nonparametric models for peak identification in MALDI-TOF mass spectroscopy (Q641098) (← links)
- Computational uncertainty analysis in multiresolution materials via stochastic constitutive theory (Q643960) (← links)
- Local linear hazard rate estimation and bandwidth selection (Q645537) (← links)
- Solving elliptic problems with non-Gaussian spatially-dependent random coefficients (Q649448) (← links)
- Mode testing via higher-order density estimation (Q650691) (← links)
- Kernel smoothing density estimation when group membership is subject to missing (Q651072) (← links)
- On the equivalence of the weighted least squares and the generalised least squares estimators, with applications to kernel smoothing (Q652595) (← links)
- Nonparametric estimation of the density of regression errors (Q654555) (← links)
- Uncertainty quantification of MEMS using a data-dependent adaptive stochastic collocation method (Q660314) (← links)
- Measuring the stability of histogram appearance when the anchor position is changed (Q673284) (← links)
- On multivariate associated kernels to estimate general density functions (Q684068) (← links)
- Local polynomial fitting in semivarying coefficient model (Q697474) (← links)
- An improved \(C_p\) criterion for spline smoothing (Q710806) (← links)
- On boundary correction in kernel density estimation (Q713651) (← links)
- Design of kernel M-smoothers for spatial data (Q713833) (← links)
- Discrete associated kernels method and extensions (Q713900) (← links)
- Fitting software reliability growth curves using nonparametric regression methods (Q716252) (← links)
- Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal (Q723082) (← links)
- Statistical analysis of the moving least-squares method with unbounded sampling (Q726158) (← links)
- What are we estimating when we fit Stevens' power law? (Q730166) (← links)
- Statistical models for e-learning data (Q734477) (← links)
- Linear and convex aggregation of density estimators (Q734530) (← links)
- On the choice of the smoothing parameter in kernel density estimation (Q735553) (← links)
- Generating multiple alternative clusterings via globally optimal subspaces (Q740590) (← links)
- Root \(n\) estimates of vectors of integrated density partial derivative functionals (Q741153) (← links)
- Multivariate varying coefficient model for functional responses (Q741801) (← links)
- Statistical inference and visualization in scale-space for spatially dependent images (Q744746) (← links)
- Survival estimation through the cumulative hazard function with monotone natural cubic splines (Q746153) (← links)
- Estimation of 2D jump location curve and 3D jump location surface in nonparametric regression (Q746175) (← links)
- Evaluating subject-level incremental values of new markers for risk classification rule (Q746491) (← links)
- New bandwidth selection for kernel quantile estimators (Q764427) (← links)
- Data sharpening methods in multivariate local quadratic regression (Q764494) (← links)
- Robust kernels for kernel density estimation (Q777674) (← links)
- Nonparametric Bayesian estimation of a Hölder continuous diffusion coefficient (Q783274) (← links)
- Possibilistic instance-based learning (Q814500) (← links)
- Kernel smoothed prediction intervals for ARMA models (Q819422) (← links)
- On boosting kernel density methods for multivariate data: density estimation and classification (Q819436) (← links)
- A computational study of density-dependent individual movement and the formation of population clusters in two-dimensional spatial domains (Q827702) (← links)
- On data-driven choice of \(\lambda\) in nonparametric Gaussian regression via propagation-separation approach (Q829716) (← links)
- On nonparametric ridge estimation for multivariate long-memory processes (Q829814) (← links)
- Explicit-duration hidden Markov models for quantum state estimation (Q830081) (← links)
- Nonparametric density estimation and bandwidth selection with B-spline bases: a novel Galerkin method (Q830102) (← links)
- Remarks on optimum kernels and optimum boundary kernels. (Q834028) (← links)
- Nonparametric regression, confidence regions and regularization (Q834356) (← links)
- Improved kernel estimation of copulas: weak convergence and goodness-of-fit testing (Q834371) (← links)
- A quantile-copula approach to conditional density estimation (Q842926) (← links)
- A damped diffusion framework for financial modeling and closed-form maximum likelihood estimation (Q846506) (← links)
- From local kernel to nonlocal multiple-model image denoising (Q847522) (← links)
- Maximum smoothed likelihood estimation and smoothed maximum likelihood estimation in the current status model (Q847641) (← links)
