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