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