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