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