The following pages link to Pascal Massart (Q172758):
Displaying 43 items.
- Rates of convergence for robust geometric inference (Q309578) (← links)
- A high-dimensional Wilks phenomenon (Q718891) (← links)
- The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality (Q750035) (← links)
- Risk bounds for statistical learning (Q869973) (← links)
- Concentration inequalities and model selection. Ecole d'Eté de Probabilités de Saint-Flour XXXIII -- 2003. (Q879733) (← links)
- On concentration of self-bounding functions (Q1039168) (← links)
- (Q1099479) (redirect page) (← links)
- About the Prohorov distance between the uniform distribution over the unit cube in \(R^ d\) and its empirical measure (Q1099480) (← links)
- Hungarian constructions from the nonasymptotic viewpoint (Q1117572) (← links)
- Strong approximation for multivariate empirical and related processes, via KMT constructions (Q1122212) (← links)
- Minimum contrast estimators on sieves: Exponential bounds and rates of convergence (Q1275858) (← links)
- Risk bounds for model selection via penalization (Q1291160) (← links)
- The functional central limit theorem for strongly mixing processes (Q1316641) (← links)
- Rates of convergence for minimum contrast estimators (Q1326244) (← links)
- Invariance principles for absolutely regular empirical processes (Q1347273) (← links)
- Concentration inequalities using the entropy method (Q1431503) (← links)
- Estimator selection: a new method with applications to kernel density estimation (Q1688428) (← links)
- Moment inequalities for functions of independent random variables (Q1775439) (← links)
- Rates of convergence in the central limit theorem for empirical processes (Q1820496) (← links)
- Tusnady's lemma, 24 years later (Q1863432) (← links)
- About the constants in Talagrand's concentration inequalities for empirical processes. (Q1872144) (← links)
- Estimation of integral functionals of a density (Q1895341) (← links)
- The Lasso as an \(\ell _{1}\)-ball model selection procedure (Q1952205) (← links)
- An adaptive compression algorithm in Besov spaces (Q1968776) (← links)
- Model selection: from theory to practice (Q2197389) (← links)
- Minimal penalties for Gaussian model selection (Q2369862) (← links)
- Statistical performance of support vector machines (Q2426613) (← links)
- Concentration inequalities. A nonasymptotic theory of independence (Q2809288) (← links)
- (Q3036380) (← links)
- Some Rates of Convergence for the Selected Lasso Estimator (Q3164808) (← links)
- (Q3709586) (← links)
- (Q3732659) (← links)
- (Q4246895) (← links)
- (Q4355974) (← links)
- A sharp concentration inequality with applications (Q4487095) (← links)
- (Q4907706) (← links)
- Around Nemirovski’s inequality (Q5499692) (← links)
- (Q5694887) (← links)
- Some applications of concentration inequalities to statistics (Q5930238) (← links)
- Gaussian model selection (Q5945247) (← links)
- Numerical performance of penalized comparison to overfitting for multivariate kernel density estimation (Q6133925) (← links)
- (Q6142208) (← links)
- Estimator selection: a new method with applications to kernel density estimation (Q6275668) (← links)
