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Parametric estimation and tests through divergences and duality technique

Mathematics – Statistics Theory
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Parametric estimation for partially hidden diffusion processes sampled at discrete times

Mathematics – Statistics Theory
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Parametric estimation for planar random flights observed at discrete times

Mathematics – Statistics Theory
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Parametric estimation for the standard and geometric telegraph process observed at discrete times

Mathematics – Statistics Theory
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Parametric estimation in noisy blind deconvolution model: a new estimation procedure

Mathematics – Statistics Theory
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Parametric Estimation of Diffusion Processes Sampled at First Exit Times

Mathematics – Statistics Theory
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Parametric estimation. Finite sample theory

Mathematics – Statistics Theory
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Parametric families on large binary spaces

Mathematics – Statistics Theory
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Parametric inference and forecasting in continuously invertible volatility models

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Parametric inference for stochastic differential equations: a smooth and match approach

Mathematics – Statistics Theory
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Parametric or nonparametric? A parametricness index for model selection

Mathematics – Statistics Theory
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Partial estimation of covariance matrices

Mathematics – Statistics Theory
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Partially adaptive nonparametric instrumental regression

Mathematics – Statistics Theory
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Partially linear models on Riemannian manifolds

Mathematics – Statistics Theory
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Partially observed information and inference about non-Gaussian mixed linear models

Mathematics – Statistics Theory
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Partially specified prior

Mathematics – Statistics Theory
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Particle-based likelihood inference in partially observed diffusion processes using generalised Poisson estimators

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PCA consistency in high dimension, low sample size context

Mathematics – Statistics Theory
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PCA-Kernel Estimation

Mathematics – Statistics Theory
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Penalized contrast estimator for adaptive density deconvolution

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