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