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