Pages that link to "Item:Q2266536"
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The following pages link to On estimating a density using Hellinger distance and some other strange facts (Q2266536):
Displaying 40 items.
- Estimating the intensity of a random measure by histogram type estimators (Q151295) (← links)
- Parametric or nonparametric? A parametricness index for model selection (Q651025) (← links)
- Linear and convex aggregation of density estimators (Q734530) (← links)
- Asymptotic theory for maximum likelihood in nonparametric mixture models (Q951805) (← links)
- Exact rates in density support estimation (Q957304) (← links)
- On the rate of convergence of the maximum likelihood estimator of a \(k\)-monotone density (Q1042977) (← links)
- Estimating a density and its derivatives via the minimum distance method (Q1102656) (← links)
- Extrema of some Gaussian processes with large trends and density estimation in \(L_{\infty}\)-norm (Q1120930) (← links)
- Geometrizing rates of convergence. II (Q1175379) (← links)
- On the impossibility of estimating densities in the extreme tail (Q1284587) (← links)
- Density estimation by kernel and wavelets methods: optimality of Besov spaces (Q1314732) (← links)
- Rates of convergence for minimum contrast estimators (Q1326244) (← links)
- Resampling: consistency of substitution estimators (Q1354426) (← links)
- Mutual information, metric entropy and cumulative relative entropy risk (Q1383090) (← links)
- On the risk of estimates for block decreasing densities (Q1400148) (← links)
- Information-theoretic determination of minimax rates of convergence (Q1578277) (← links)
- Lower bounds for the rate of convergence in nonparametric pattern recognition (Q1603589) (← links)
- Lower bounds in estimation at a point under multi-index constraint (Q1642273) (← links)
- A strong converse bound for multiple hypothesis testing, with applications to high-dimensional estimation (Q1746556) (← links)
- Information theory and superefficiency (Q1807151) (← links)
- The statistical work of Lucien Le Cam. (Q1848952) (← links)
- Another proof of a slow convergence result of Birgé (Q1892115) (← links)
- Lower bounds on the rate of convergence of nonparametric regression estimates (Q1969139) (← links)
- Optimal learning with anisotropic Gaussian SVMs (Q1979927) (← links)
- Optimal estimation of variance in nonparametric regression with random design (Q1996785) (← links)
- Robust Bayes-like estimation: rho-Bayes estimation (Q1996790) (← links)
- Uncompactly supported density estimation with \(L^1\) risk (Q2191833) (← links)
- Statistical estimation with model selection (Q2385788) (← links)
- Anisotropic function estimation using multi-bandwidth Gaussian processes (Q2448734) (← links)
- Entropy estimate for high-dimensional monotonic functions (Q2474241) (← links)
- Convergence properties of functional estimates for discrete distributions (Q2772919) (← links)
- LOCALIZED MODEL SELECTION FOR REGRESSION (Q3632386) (← links)
- Nonparametric density estimates with improved . performance on given sets of densities (Q4207482) (← links)
- Comparing and Weighting Imperfect Models Using D-Probabilities (Q5120673) (← links)
- Adaptive Bayesian density regression for high-dimensional data (Q5963506) (← links)
- Optimal estimation of high-dimensional Gaussian location mixtures (Q6046303) (← links)
- Minimax rates for conditional density estimation via empirical entropy (Q6117050) (← links)
- A central limit theorem for the Hellinger loss of Grenander‐type estimators (Q6187975) (← links)
- Robust estimation of a regression function in exponential families (Q6592783) (← links)
- Robust nonparametric regression based on deep ReLU neural networks (Q6592794) (← links)
