Cox model Image processing Breast cancer Gaussian fields Deconvolution Hidden Markov model Random fields Mathématiques Density estimation Estimating equations Hydrodynamic limit LDDMM Optimal Transport Nonparametric estimation Crossings Survival Extremes Facial reconstruction Mixture models Fourier transform Hermite basis Total variation Almost sure invariance principle Image restoration Anisotropy Inverse problem Euler characteristic Hypothesis testing Optimal transport Estimation Sanskrit Discrete observations Poisson point process Cross-validation Occupational exposure MPEG Moment inequalities Model selection Interacting particle systems Empirical process Gaussian process Rate of convergence Stochastic partial differential equations Clustering Excursion sets Martingales Mathematics Stochastic differential equations Epidemiology Extreme-value statistics Condensation Diffusion processes Phase transition Penalized contrast Consistency Cell polarisation Diffusion process EM algorithm Asymptotic convergence Censored data Survival analysis Percolation Denoising Image denoising Epidemic control Hidden Markov models Deterministic model Robustness Regression Adaptive estimation Asymptotic normality Stationary sequences Stochastic geometry Inverse problems Global existence Gaussian processes Classification Laguerre basis Hippocampus Discrete time observations Random matrices Texture synthesis Markov chain Contact tracing Hermite polynomials Central limit theorem Recurrent events Fractional Brownian motion Projection estimators Image registration Empirical processes Variational inference Blow-up Wasserstein distance Vaccine Parametric inference Keller-Segel system Elasticity Boolean model Homogenization