Physical dependence measure
Deconvolution kernel density estimator
Rate of convergence
Nonparametric estimation
Density
Mixing random fields
Kahane-Khintchine inequalities
Orthomartingales
Spatial processes
Inegalites exponentielles
Principe d'invariance
Champs aleatoires
Nonparametric regression estimation
Central limit theorem
Theoreme limite local
Nonmixing random fields
Melange
Kernel
Random fields
Inegalites de Kahane-Khintchine
Accroissements d'une martingale
Fixed-design
Strong consistency
Functional central limit theorem
Measure-preserving transformation
Theoreme limite central
Invariance principle
Martingale-difference random fields
Kernel estimators
Orlicz spaces
Estimateur a noyau
Berry-Esseen bound
Martingale difference sequence
Iid random fields
Weak mixing
Kernel density estimator
Nonparametric density estimation
Mixing
Vitesse de convergence
Systeme dynamique ergodique
Martingale difference random fields
Frequency polygon
M-dependent random fields
Espaces de Orlicz
Asymptotic normality
Strongly mixing random fields
Exponential inequalities
Linear process
Entropie metrique
Strongly mixing random field
Martingale difference random field
Histogram
Local limit theorem
Self-normalization
Regression non parametrique
Metric entropy
Maetric entropy
Hilbert space
Kernel estimator
Lindeberg's decomposition