Laws of large numbers in stochastic geometry with statistical applications

Laws of the single logarithm for delayed sums of random fields

Le Cam spacings theorem in dimension two

Learning a regression function via Tikhonov regularization

Learning and adaptive estimation for marker-dependent counting processes

Learning by mirror averaging

Learning gradients on manifolds

Learning Out of Leaders

Least Angle Regression

Least Squares After Model Selection in High-dimensional Sparse Models

Least squares estimators for discretely observed stochastic processes driven by small Levy noises

Least squares type estimation of the transition density of a particular hidden Markov chain

Least squares volatility change point estimation for partially observed diffusion processes

Les p-values comme votes d'experts

Lévy-based growth models

Likelihood approach for marginal proportional hazards regression in the presence of dependent censoring

Likelihood based inference for monotone response models

Likelihood for generally coarsened observations from multi-state or counting process models

Likelihood inference for Archimedean copulas

Likelihood inference for incompletely observed stochastic processes: ignorability conditions