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