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