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