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