Parametric estimation and tests through divergences and duality technique
Parametric estimation for partially hidden diffusion processes sampled at discrete times
Parametric estimation for planar random flights observed at discrete times
Parametric estimation for the standard and geometric telegraph process observed at discrete times
Parametric estimation in noisy blind deconvolution model: a new estimation procedure
Parametric Estimation of Diffusion Processes Sampled at First Exit Times
Parametric estimation. Finite sample theory
Parametric families on large binary spaces
Parametric inference and forecasting in continuously invertible volatility models
Parametric inference for stochastic differential equations: a smooth and match approach
Parametric or nonparametric? A parametricness index for model selection
Partial estimation of covariance matrices
Partially adaptive nonparametric instrumental regression
Partially linear models on Riemannian manifolds
Partially observed information and inference about non-Gaussian mixed linear models
Partially specified prior
Particle-based likelihood inference in partially observed diffusion processes using generalised Poisson estimators
PCA consistency in high dimension, low sample size context
PCA-Kernel Estimation
Penalized contrast estimator for adaptive density deconvolution