Pages that link to "Item:Q4158312"
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The following pages link to Variable Kernel Estimates of Multivariate Densities (Q4158312):
Displaying 50 items.
- Reducing the mean squared error in kernel density estimation (Q395883) (← links)
- A bias corrected nonparametric regression estimator (Q419220) (← links)
- Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions (Q425687) (← links)
- Remembering Leo Breiman (Q542912) (← links)
- Local data-driven bandwidth choice for density estimation (Q581956) (← links)
- Mode testing via higher-order density estimation (Q650691) (← links)
- Spatial local M-estimation under association (Q745418) (← links)
- A method for the choice of smoothing parameter (Q749095) (← links)
- Rate of strong uniform convergence of k-NN density estimates (Q792039) (← links)
- A variable bandwidth selector in multivariate kernel density estimation (Q876996) (← links)
- On convergence of kernel estimators of density with variable window width by dependent observations (Q927548) (← links)
- Simulated minimum Hellinger distance estimation of stochastic volatility models (Q961438) (← links)
- On near neighbour estimates of a multivariate density (Q1051370) (← links)
- On the convergence of kernel estimators of probability density functions (Q1052006) (← links)
- Random approximations to some measures of accuracy in nonparametric curve estimation (Q1085912) (← links)
- Variable window width kernel estimates of probability densities (Q1098511) (← links)
- Uniform consistency of automatic and location-adaptive delta-sequence estimators (Q1102659) (← links)
- A nonparametric approach to analyzing large human populations (Q1183938) (← links)
- Location-adaptive density estimation and nearest-neighbor distance (Q1190565) (← links)
- Efficiencies for window estimates of the parameters of the Cauchy distribution (Q1245653) (← links)
- Multivariate k-nearest neighbor density estimates (Q1257746) (← links)
- Reducing bias in curve estimation by use of weights. (Q1285485) (← links)
- Bivariate B-splines for tensor logspline density estimation (Q1351843) (← links)
- On the risk of estimates for block decreasing densities (Q1400148) (← links)
- Asymptotic behavior of the Lipschitz-1/2 modulus of the PL-process for truncated and censored data. (Q1421074) (← links)
- Multivariate locally adaptive density estimation. (Q1605371) (← links)
- An assessment of finite sample performance of adaptive methods in density estimation (Q1606486) (← links)
- Parallel distributed kernel estimation (Q1608905) (← links)
- On bandwidth selection using minimal spanning tree for kernel density estimation (Q1659027) (← links)
- Fast computation of spatially adaptive kernel estimates (Q1704028) (← links)
- Numerical results concerning a sharp adaptive density estimator (Q1861609) (← links)
- Adapting the classical kernel density estimator to data (Q1896131) (← links)
- Asymptotic bias and variance for a general class of varying bandwidth density estimators (Q1917636) (← links)
- Variable bandwidth and one-step local \(M\)-estimator (Q1974207) (← links)
- Tuning selection for two-scale kernel density estimators (Q2095751) (← links)
- Hybrid semiparametric Bayesian networks (Q2161014) (← links)
- Local nearest neighbour classification with applications to semi-supervised learning (Q2196247) (← links)
- New insights into approximate Bayesian computation (Q2261604) (← links)
- Comparison study to bandwidth selection in binomial kernel estimation using Bayesian approaches (Q2323158) (← links)
- Techniques for dealing with incomplete data: a tutorial and survey (Q2337405) (← links)
- The asymptotic law of the local oscillation modulus of the empirical process (Q2365875) (← links)
- Integration of prior knowledge of measurement noise in kernel density classification (Q2384981) (← links)
- Convergence of \(k\) nearest neighbor kernel estimator in nonparametric functional regression (Q2476542) (← links)
- A doubly robustified estimating function for ARCH time series models (Q2479693) (← links)
- Accuracy of transformed kernel density estimates for a heavy-tailed distribution (Q2487487) (← links)
- Optimal \(L_{1}\) bandwidth selection for variable kernel density estimates (Q2566713) (← links)
- Uniform in bandwidth consistency of kernel-type function estimators (Q2569245) (← links)
- A three-way clustering method based on improved density peaks algorithm and boundary detection graph (Q2677859) (← links)
- Methodology for nonparametric bias reduction in kernel regression estimation (Q2692996) (← links)
- Local Linear M-estimation in non-parametric spatial regression (Q3077650) (← links)
