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