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Some challenges for statistics

Davison, A.

In: Statistical Methods and Applications, 2008, vol. 17, no. 2, p. 167-181

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    Titre
    • Some challenges for statistics
    Auteur
    • Davison, A.. Institute of Mathematics, School of Basic Sciences, Ecole Polytechnique Fédérale de Lausanne, STAT-IMA-FSB-EPFL, Station 8, 1015, Lausanne, Switzerland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • Statistical Methods and Applications, 2008, vol. 17, no. 2, p. 167-181. Springer-Verlag
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:318661
    Summary
    The paper gives a highly personal sketch of some current trends in statistical inference. After an account of the challenges that new forms of data bring, there is a brief overview of some topics in stochastic modelling. The paper then turns to sparsity, illustrated using Bayesian wavelet analysis based on a mixture model and metabolite profiling. Modern likelihood methods including higher order approximation and composite likelihood inference are then discussed, followed by some thoughts on statistical education