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