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