Pages that link to "Item:Q4743580"
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The following pages link to Approximation dans les espaces m�triques et th�orie de l'estimation (Q4743580):
Displaying 50 items.
- Estimating the intensity of a random measure by histogram type estimators (Q151295) (← links)
- Estimation of the transition density of a Markov chain (Q405506) (← links)
- Rates of contraction for posterior distributions in \(L^{r}\)-metrics, \(1 \leq r \leq \infty\) (Q449972) (← links)
- The semiparametric Bernstein-von Mises theorem (Q450029) (← links)
- A new method for estimation and model selection: \(\rho\)-estimation (Q510164) (← links)
- Extreme values statistics for Markov chains via the (pseudo-) regenerative method (Q626299) (← links)
- A Bernstein-type inequality for suprema of random processes with applications to model selection in non-Gaussian regression (Q627287) (← links)
- Estimator selection with respect to Hellinger-type risks (Q644788) (← links)
- Nonparametric denoising of signals of unknown local structure. II: Nonparametric function recovery (Q711050) (← links)
- Nonparametric estimation by convex programming (Q834340) (← links)
- About the non-asymptotic behaviour of Bayes estimators (Q899538) (← links)
- Convergence rates of posterior distributions for non iid observations (Q997377) (← links)
- Data compression and histograms (Q1203347) (← links)
- Pointwise and sup-norm sharp adaptive estimation of functions on the Sobolev classes (Q1307108) (← 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)
- Rates of convergence of estimates, Kolmogorov's entropy and the dimensionality reduction principle in regression (Q1383091) (← links)
- Information-theoretic determination of minimax rates of convergence (Q1578277) (← links)
- Optimal spherical deconvolution (Q1599065) (← links)
- Robust and parallel Bayesian model selection (Q1663127) (← links)
- Entropy of convex functions on \(\mathbb R^d\) (Q1691434) (← links)
- Minimax-rate adaptive nonparametric regression with unknown correlations of errors (Q1729945) (← links)
- Model selection for Gaussian regression with random design (Q1763101) (← links)
- On minimax density estimation on \(\mathbb R\) (Q1769774) (← links)
- Covering numbers for bounded variation functions (Q1791562) (← links)
- Log-density estimation in linear inverse problems (Q1807071) (← links)
- Convergence rates of posterior distributions. (Q1848786) (← links)
- Adaptive estimation of a quadratic functional by model selection. (Q1848826) (← links)
- The statistical work of Lucien Le Cam. (Q1848952) (← links)
- Inhomogeneous and anisotropic conditional density estimation from dependent data (Q1952241) (← links)
- Rho-estimators revisited: general theory and applications (Q1990601) (← links)
- Robust Bayes-like estimation: rho-Bayes estimation (Q1996790) (← links)
- Criteria for posterior consistency and convergence at a rate (Q2008624) (← links)
- Tests and estimation strategies associated to some loss functions (Q2041653) (← links)
- Set structured global empirical risk minimizers are rate optimal in general dimensions (Q2054522) (← links)
- Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence (Q2073208) (← links)
- Estimating linear and quadratic forms via indirect observations (Q2203617) (← links)
- Hypotheses testing and posterior concentration rates for semi-Markov processes (Q2243560) (← links)
- On estimating a density using Hellinger distance and some other strange facts (Q2266536) (← links)
- Asymptotic confidence intervals for Poisson regression (Q2373450) (← links)
- Statistical estimation with model selection (Q2385788) (← links)
- Fast learning rates in statistical inference through aggregation (Q2388975) (← links)
- Nonparametric Bayesian model selection and averaging (Q2426825) (← links)
- Sparse PCA: optimal rates and adaptive estimation (Q2443213) (← links)
- Model selection for density estimation with \(\mathbb L_2\)-loss (Q2447292) (← links)
- Some theoretical results on neural spike train probability models (Q2473079) (← links)
- Misspecification in infinite-dimensional Bayesian statistics (Q2497184) (← links)
- Asymptotic optimality in stochastic optimization (Q2656586) (← links)
