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