Pages that link to "Item:Q2541319"
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The following pages link to Estimation of a multivariate density (Q2541319):
Displaying 50 items.
- Classification approach for reliability-based topology optimization using probabilistic neural networks (Q381744) (← links)
- Reuse, recycle, reweigh: combating influenza through efficient sequential Bayesian computation for massive data (Q542932) (← links)
- Nonparametric estimation of the CDF of weapon effectiveness on target performance (Q687030) (← links)
- Fitting a multiple regression function (Q792724) (← links)
- Testing independence in high dimensions (Q806858) (← links)
- On detecting nonlinear patterns in discriminant problems (Q819313) (← links)
- Asymptotic distribution of the quadratic deviation of the regression curve recursive estimator (Q911183) (← links)
- G-PNN: a genetically engineered probabilistic neural network (Q988826) (← links)
- On near neighbour estimates of a multivariate density (Q1051370) (← links)
- \(L_p\)-consistency of multivariate density estimates (Q1051377) (← links)
- On a measure of multivariate skewness and a test for multivariate normality (Q1052019) (← links)
- A bivariate histogram density estimator: Consistency and asymptotic normality (Q1064709) (← links)
- On the consistency and finite-sample properties of nonparametric kernel time series regression, autoregression and density estimators (Q1088355) (← links)
- A kernel-type estimator for generalized quantiles (Q1097604) (← links)
- Adaptive nonparametric estimation of a multivariate regression function (Q1107923) (← links)
- Nonparametric estimation of survival curve under dependent censorship (Q1123509) (← links)
- Learning to recognize patterns with a probabilistic teacher (Q1140997) (← links)
- Asymptotic properties of kernel estimates of a regression function (Q1142506) (← links)
- Estimation of probabilities of label imperfections and correction of mislabels (Q1151218) (← links)
- On the uniform complete convergence of estimates for multivariate density functions and regression curves (Q1152187) (← links)
- Speed of convergence in nonparametric estimation of a multivariate mu- density and its mixed partial derivatives (Q1162318) (← links)
- A quadratic classifier for high-dimensional, periodic-measurement pattern-recognition problems (Q1193830) (← links)
- Asymptotic bounds for the expected \(L^ 1\) error of a multivariate kernel density estimator (Q1201132) (← links)
- On tail probabilities of Kolmogorov-Smirnov statistic based on strong mixing processes (Q1210127) (← links)
- A locally sensitive method for cluster analysis (Q1234178) (← links)
- Density estimates with methods of uniform distribution mod 1 (Q1236852) (← links)
- Nonparametric estimation of mixed partial derivatives of a multivariate density (Q1239993) (← links)
- Estimation of a regression function by the parzen kernel-type density estimators (Q1243984) (← links)
- Additive estimators for probabilities of correct classification (Q1251040) (← links)
- Multivariate k-nearest neighbor density estimates (Q1257746) (← links)
- Pointwise improvement of multivariate kernel density estimates. (Q1264513) (← links)
- Density estimation on the Stiefel manifold (Q1268016) (← links)
- Kernel and pseudokernel estimators for the a priori density of a multivariate parameter (Q1269938) (← links)
- Multivariate density estimation with general flat-top kernels of infinite order (Q1283845) (← links)
- Asymptotic normality of nonparametric estimators under \(\alpha\)-mixing condition (Q1292778) (← links)
- Nonparametric estimation of joint discrete-continuous probability densities with applications (Q1338379) (← links)
- Monte Carlo response surfaces: A comparative approach (Q1345574) (← links)
- Density estimation on the spaces of symmetric and rectangular matrices (Q1369299) (← links)
- Strong convergence of sums of \(\alpha \)-mixing random variables with applications to density estimation (Q1382470) (← links)
- Regression neural network for error correction in foreign exchange forecasting and trading. (Q1427114) (← links)
- Penalized maximum-likelihood estimation, the Baum-Welch algorithm, diagonal balancing of symmetric matrices and applications to training acoustic data (Q1576464) (← links)
- Forecasting exchange rates using general regression neural networks (Q1579016) (← links)
- Smooth estimation of multivariate survival and density functions (Q1600730) (← links)
- On bandwidth selection using minimal spanning tree for kernel density estimation (Q1659027) (← links)
- Asymptotic properties of some functions of nonparametric estimates of a density function (Q1847119) (← links)
- Application of neural networks to an emerging financial market: Forecasting and trading the Taiwan Stock index. (Q1870846) (← links)
- Smoothing categorical data (Q1901752) (← links)
- Solvable models of layered neural networks based on their differential structure (Q1923889) (← links)
- Estimation of Poisson-Dirichlet parameters with monotone missing data (Q1993142) (← links)
- A review of uncertainty quantification for density estimation (Q2048457) (← links)
