Larry Brown’s Contributions to Parametric Inference, Decision Theory and Foundations: A Survey

• Autores: James O. Berger , Anirban DasGupta
• Localización: Statistical science, ISSN 0883-4237, Vol. 34, Nº. 4, 2019 (Ejemplar dedicado a: Memorial Issue for Lawrence D. Brown), págs. 621-634
• Idioma: inglés
• DOI: 10.1214/19-sts717
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• Resumen

  • This article gives a panoramic survey of the general area of parametric statistical inference, decision theory and foundations of statistics for the period 1965–2010 through the lens of Larry Brown’s contributions to varied aspects of this massive area. The article goes over sufficiency, shrinkage estimation, admissibility, minimaxity, complete class theorems, estimated confidence, conditional confidence procedures, Edgeworth and higher order asymptotic expansions, variational Bayes, Stein’s SURE, differential inequalities, geometrization of convergence rates, asymptotic equivalence, aspects of empirical process theory, inference after model selection, unified frequentist and Bayesian testing, and Wald’s sequential theory. A reasonably comprehensive bibliography is provided.