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