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