The following pages link to (Q3336497):
Displaying 50 items.
- Pointwise universal consistency of nonparametric density estimators (Q850715) (← links)
- Uniform large deviations principle for the delta-sequence method density estimator (Q857119) (← links)
- Bin width selection in multivariate histograms by the combinatorial method (Q882926) (← links)
- Pointwise adaptive estimation of a multivariate density under independence hypothesis (Q888472) (← links)
- Optimal bandwidth of the ``Minkowski content''-based estimator of the mean density of random closed sets: theoretical results and numerical experiments (Q892816) (← links)
- Estimating beta-mixing coefficients via histograms (Q902219) (← links)
- Fitting conditional distributions using orthogonal expansions (Q920505) (← links)
- Kernel density estimation on random fields (Q921787) (← links)
- Uniform central limit theorems for kernel density estimators (Q929370) (← links)
- The iteratively reweighted estimating equation in minimum distance problems (Q956819) (← links)
- Uniform in bandwidth consistency of the kernel-type estimator of the Shannon's entropy (Q961010) (← links)
- Non-parametric \(k\)-sample tests: density functions vs distribution functions (Q961789) (← links)
- \(L_{2}E\) estimation of mixture complexity for count data (Q961924) (← links)
- Nonparametric density estimation for positive time series (Q962247) (← links)
- Asymptotic normality of two symmetry test statistics based on the \(L_1\)-error (Q963871) (← links)
- A note on the universal consistency of the kernel distribution function estimator (Q988117) (← links)
- Information divergence estimation based on data-dependent partitions (Q988952) (← links)
- Nonparametric estimation of distributions with given marginals via Bernstein-Kantorovich polynomials: \(L_{1}\) and pointwise convergence theory (Q996979) (← links)
- A note on kernel density estimation for non-negative random variables (Q998884) (← links)
- Probability density estimation for survival data with censoring indicators missing at random (Q1006665) (← links)
- Minimum Hellinger distance estimation in a nonparametric mixture model (Q1007495) (← links)
- Strongly consistent model selection for densities (Q1019483) (← links)
- Robust estimation of mixture complexity for count data (Q1020099) (← links)
- Moderate deviations of \(L_1\)-error of empirical measures on partitions (Q1021824) (← links)
- Nonparametric density estimation by exact leave-\(p\)-out cross-validation (Q1023567) (← links)
- Nonparametric density estimation for multivariate bounded data (Q1036713) (← links)
- Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation (Q1073495) (← links)
- On the minimization of absolute distance in kernel density estimation (Q1094032) (← links)
- General software for the analysis of cytofluorimetric data by E-M methods (Q1094348) (← links)
- Density-free convergence properties of various estimators of entropy (Q1095528) (← links)
- Estimating a density and its derivatives via the minimum distance method (Q1102656) (← links)
- On the asymptotic properties of smoothed estimators of the classification error rate (Q1102667) (← links)
- Central limit theorems for \(L_ p\)-norms of density estimators (Q1110895) (← links)
- Exponential bounds of mean error for the kernel estimate of regression functions (Q1117632) (← links)
- Minimizing \(L_ 1\) distance in nonparametric density estimation (Q1120929) (← links)
- On cutting-plane proofs in combinatorial optimization (Q1123134) (← links)
- On random variate generation when only moments of Fourier coefficients are known (Q1123530) (← links)
- Evaluation of kernel density estimation methods for daily precipitation resampling (Q1128012) (← links)
- Global nonparametric estimation of conditional quantile functions and their derivatives (Q1182760) (← links)
- Quadratic errors for nonparametric estimates under dependence (Q1182766) (← links)
- \(L_ 1\)-optimal estimates for a regression type function in \(R^ d\) (Q1185831) (← links)
- Location-adaptive density estimation and nearest-neighbor distance (Q1190565) (← links)
- Asymptotic bounds for the expected \(L^ 1\) error of a multivariate kernel density estimator (Q1201132) (← links)
- Optimal convergence properties of kernel density estimators without differentiability conditions (Q1207633) (← links)
- Maximum entropy estimation of density and regression functions (Q1209897) (← links)
- A local cross-validation algorithm for dependent data (Q1209931) (← links)
- Improvements on strong uniform consistency of some known kernel estimates of a density and its derivatives (Q1262646) (← links)
- An equivalence theorem for \(L_ 1\) convergence of the kernel regression estimate (Q1262650) (← links)
- Convergence in the Hausdorff metric of estimators of irregular densities, using Fourier-Cesàro approximation (Q1265959) (← links)
- Predicting observables from a general class of distributions (Q1298930) (← links)
