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Discussion of "Multivariate Bayesian Logistic Regression for Analysis of Clinical Trial Safety Issues" by W. DuMouchel [arXiv:1210.0385].

统计方法学 · 统计学 2012-10-03 Bradley W. McEvoy , Ram C. Tiwari

Rejoinder to "Multivariate Bayesian Logistic Regression for Analysis of Clinical Trial Safety Issues" by W. DuMouchel [arXiv:1210.0385].

统计方法学 · 统计学 2012-10-03 William DuMouchel

Contents: Generalities, Chiral supermultiplets, Super Yang-Mills theory, Superspace Feynman graphs, Renormalization, Supercurrent, Finite theories.

高能物理 - 理论 · 物理学 2007-05-23 Olivier Piguet

All multivariate extensions of the univariate theory of risk measurement run into the same fundamental problem of the absence, in dimension d > 1, of a canonical ordering of Rd. Based on measure transportation ideas, several attempts have…

统计方法学 · 统计学 2019-12-12 Jan Beirlant , Sven Buitendag , Eustasio del Bario , Marc Hallin

Discussion of ``Least angle regression'' by Efron et al. [math.ST/0406456]

统计理论 · 数学 2007-06-13 Sanford Weisberg

Discussion of ``Least angle regression'' by Efron et al. [math.ST/0406456]

统计理论 · 数学 2007-06-13 Berwin A. Turlach

Discussion of ``Least angle regression'' by Efron et al. [math.ST/0406456]

统计理论 · 数学 2007-06-13 Robert A. Stine

Discussion of ``Least angle regression'' by Efron et al. [math.ST/0406456]

统计理论 · 数学 2007-06-13 Saharon Rosset , Ji Zhu

Discussion of ``Least angle regression'' by Efron et al. [math.ST/0406456]

统计理论 · 数学 2007-06-13 David Madigan , Greg Ridgeway

Discussion of ``Least angle regression'' by Efron et al. [math.ST/0406456]

统计理论 · 数学 2007-06-13 Jean-Michel Loubes , Pascal Massart

Discussion of ``Least angle regression'' by Efron et al. [math.ST/0406456]

统计理论 · 数学 2007-06-13 Keith Knight

Discussion of ``Least angle regression'' by Efron et al. [math.ST/0406456]

统计理论 · 数学 2007-06-13 Hemant Ishwaran

This chapter presents a self-contained approach of variational analysis and generalized differentiation to deriving necessary optimality in problems of bilevel optimization with Lipschitzian data. We mainly concentrate on optimistic models,…

最优化与控制 · 数学 2019-07-16 Boris S. Mordukhovich

The development and use of dimension reduction methods is prevalent in modern statistical literature. This paper reviews a class of dimension reduction techniques which aim to simultaneously select relevant predictors and find clusters…

统计方法学 · 统计学 2022-02-18 Suchit Mehrotra

This article discusses several matters related to Sobolev, Poincare, and isoperimetric inequalities in various settings.

经典分析与常微分方程 · 数学 2007-05-23 Stephen Semmes

Quantiles are a fundamental concept in probability and theoretical statistics and a daily tool in their applications. While the univariate concept of quantiles is quite clear and well understood, its multivariate extension is more…

统计理论 · 数学 2024-01-08 Marc Hallin , Dimitri Konen

This article deals with the analysis of high dimensional data that come from multiple sources (experiments) and thus have different possibly correlated responses, but share the same set of predictors. The measurements of the predictors may…

统计方法学 · 统计学 2020-07-01 Guorong Dai , Ursula U. Müller , Raymond J. Carroll

Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet [arXiv:1208.3378].

统计方法学 · 统计学 2012-08-20 Darmesah Gabda , Ross Towe , Jennifer Wadsworth , Jonathan Tawn

Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet [arXiv:1208.3378].

统计方法学 · 统计学 2012-08-20 Benjamin Shaby , Brian J. Reich

Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet [arXiv:1208.3378].

统计方法学 · 统计学 2012-08-20 D. Cooley , S. R. Sain