The following pages link to (Q3336497):
Displaying 50 items.
- Near-optimal coresets of kernel density estimates (Q2189735) (← links)
- Uncompactly supported density estimation with \(L^1\) risk (Q2191833) (← links)
- The minimax learning rates of normal and Ising undirected graphical models (Q2192304) (← links)
- Links between discrepancy and nonparametric estimation, methodology for selecting points based on available data (Q2197370) (← links)
- Risk measurement of a guaranteed annuity option under a stochastic modelling framework (Q2228966) (← links)
- Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes (Q2231589) (← links)
- Adaptive wavelet density estimation under independence hypothesis (Q2242440) (← links)
- \(\mathbb{L}_{p}\) adaptive estimation of an anisotropic density under independence hypothesis (Q2259530) (← links)
- On clustering procedures and nonparametric mixture estimation (Q2259536) (← links)
- Contribution to the bandwidth choice for kernel density estimates (Q2271691) (← links)
- Asymptotics and optimal bandwidth for nonparametric estimation of density level sets (Q2286370) (← links)
- Adaptive density estimation on bounded domains (Q2291961) (← links)
- Constructing reliable approximations of the probability density function to the random heat PDE via a finite difference scheme (Q2301407) (← links)
- Hypothesis testing for densities and high-dimensional multinomials: sharp local minimax rates (Q2313273) (← links)
- A nonparametric ensemble binary classifier and its statistical properties (Q2322566) (← links)
- Discrete minimax estimation with trees (Q2323936) (← links)
- Forward and reverse representations for Markov chains (Q2372464) (← links)
- Asymptotic confidence intervals for Poisson regression (Q2373450) (← links)
- Asymptotic inference for high-dimensional data (Q2380091) (← links)
- Laws of the iterated logarithm for the local U-statistic process (Q2385605) (← links)
- Statistical estimation with model selection (Q2385788) (← links)
- Uniform \(L_1\)-distance large deviations in nonparametric density estimation (Q2387137) (← links)
- Local linear spatial regression (Q2388333) (← links)
- Nonparametric estimation of a conditional density (Q2397051) (← links)
- On local linear regression for strongly mixing random fields (Q2400820) (← links)
- On the asymptotics of minimum disparity estimation (Q2404162) (← links)
- Deconvolution for an atomic distribution (Q2426835) (← links)
- Some functional large deviations principles in nonparametric function estimation (Q2428539) (← links)
- Nonparametric inference for discretely sampled Lévy processes (Q2428954) (← links)
- On the asymptotic behaviour of location-scale invariant Bickel-Rosenblatt tests (Q2433820) (← links)
- Non-linear time series clustering based on non-parametric forecast densities (Q2445740) (← links)
- Model selection for density estimation with \(\mathbb L_2\)-loss (Q2447292) (← links)
- Risk bounds for kernel density estimators (Q2452909) (← links)
- Parametric versus nonparametric tolerance regions in detection problems (Q2463661) (← links)
- \(L_{1}\)-rate of convergence of smoothed histogram (Q2467385) (← links)
- A kernel type nonparametric density estimator for decompounding (Q2469647) (← links)
- Probability density estimation with data missing at random when covariables are present (Q2475741) (← links)
- Minimum Hellinger distance estimators for multivariate distributions from the Johnson system (Q2475760) (← links)
- Equivalent kernels for smoothing splines (Q2476445) (← links)
- Moderate deviations and law of the iterated logarithm in \(L_1(\mathbb R^d)\) for kernel density estimators (Q2476888) (← links)
- Some improvements on a boundary corrected kernel density estimator (Q2482119) (← links)
- Bayesian model selection: a predictive approach with losses based on distances \(L^1\) and \(L^2\) (Q2483841) (← links)
- Kernel density estimation on Riemannian manifolds (Q2483899) (← links)
- Probability density estimation in stochastic environmental models using reverse representa\-tions (Q2505928) (← links)
- Fixed-width confidence interval based on a minimum Hellinger distance estimator (Q2507890) (← links)
- Wavelet block thresholding for density estimation in the presence of bias (Q2510915) (← links)
- Comparison of relative efficiency of kernel density estimator with the exponential map (Q2512591) (← links)
- Kernel density estimation from ergodic sample is not universally consistent (Q2563616) (← links)
- Estimation of a function under shape restrictions. Applications to reliability (Q2569243) (← links)
- Uniform in bandwidth consistency of kernel-type function estimators (Q2569245) (← links)
