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