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