Full Bayesian Analysis for a Model of Tail Dependence

The family of the asymmetric logistic copulas appears naturally in modeling tail dependence. Within this family, some well-known models, as independence and logistic dependence, define precise hypotheses, having zero posterior probability for an absolute continuous posterior distribution.

We show that the e-value associated to the Full Bayesian Significance Test has a good performance in non standard dependence problems, obtaining posterior estimates and predictive distributions.

The analysis proposed is illustrated with two examples: (1) monthly sea level maxima at Newlyn and Sheerness, England (1990–2005) and (2) AIDS rates related to an educational indicator in U.S. Census Bureau (2007 U.S. Census Bureau (2007). Persons 25 Years Old and Over with a Bachelor's Degree or More. http://www.census.gov/statab/ranks/rank19.html  [Google Scholar]). We validate the inferences obtained through simulated data.     

本源维度：历史唯物主义的现象学意蕴

历史唯物主义终结了西方理论哲学传统,从哲学转向本真意义来看,它的革命性在于转换了存在问题的追问的方式,即将存在的总体追问从思想观念领域转换到了生产生活的历史领域。在历史唯物主义看来,不论是抽象的概念体系还是现实的资本主义生产体系都是与人类生活的本真意义相异化的;它所包含的一切追问与批判都在于呈现一个人类存在意义得以自由绽放的本真历史境域。正是在彻底转向追问存在的意义问题这一点上,我们认为历史唯物主义具有深厚的现象学意蕴。在现象学视域中,历史唯物主义的多重哲学特质及其内在统一性也能得到明晰的规定。将历史唯物主义与现象学进行关联研究有利于进一步深化我们对历史唯物主义哲学意义的理解。     

朱光潜美学思想的当代意义

朱光潜美学前期主张“美是主客观的统一”说,其方法是以先验哲学为依托,侧重经验分析方法,将理性和非理性方法统一起来对现今或偏于理性主义(李泽厚)、或偏于非理性主义(潘知常)错误方法都有警示作用。朱光潜后期美学在研习马克思实践美学基础上,提出了美在主客体(不是“观”)的统一,同时他理解的“体”不是“实体”,而是将“体”消溶于历史之中,甚至把美学和美学史视为同一的,这和现在实践或新实践的美学观点都是有区别的。     

中国佛教人文精神的圆融特性及其当代意义

作为中国传统文化的三大主流之一,佛教内含丰富的人文精神,且构成一完整系统。中国佛教人文精神有颇多特征,其中圆融性独具一格。在当今中西文化交融和建立市场经济的环境下,此一特性有独到的现实意义。     

Bayesian and Classical Approaches for Hypotheses Testing in Trisomies

We introduce classical approaches for testing hypotheses on the meiosis I non disjunction fraction in trisomies, such as the likelihood-ratio, bootstrap, and Monte Carlo procedures. To calculate the p-values for the bootstrap and Monte Carlo procedures, different transformations in the data are considered. Bootstrap confidence intervals are also used as a tool to perform hypotheses tests. A Monte Carlo study is carried out to compare the proposed test procedures with two Bayesian ones: Jeffreys and Pereira-Stern tests. The results show that the likelihood-ratio and the Bayesian tests present the best performance. Down syndrome data are analyzed to illustrate the procedures.     

Shrinkage testimators for the shape parameter of weibull distributin under type ii censoring

In this paper we propose some shrinkage testimators for the shape parameter of the Weibull distribution when censored samples are available and study their properties. Comparison of the testimators with Singh and Bhatkulikar (1978) and with the usual estimator, interms of mean squared error are made. It is shown that the proposed testimators     

"技艺与德岂可分两事":唐顺之之实学及其转向的思想史意义

从明代中后期开始,学术思想界开始出现将儒家的道德哲学与经世意识相结合,"体用并重"、"内圣外王兼治"的思想趋向,并形成涌动一时的实学思潮.在明代学术思想的这个嬗变历程当中,唐顺之的学术思想及实践,具有重要的思想史意义.尤其是唐顺之"道器不二"、"技艺与德岂可分两事"的实学思想阐述,在赋予形下意义的"技艺"之形上理论说明的同时,也使得原本在儒家意识中处于紧张的"德"与"技艺"得到了缓解,在对后世产生深远影响的同时,也构成了他在思想史中的特有意义.然而此后唐顺之的思想又发 生了转向,转向于专注于儒家为己之学的内在探求,从而展现了儒家思想在走向近代之途中的困境和局限,而这也是唐顺之学术的另一层的思想史意义.     

多元文化课程开发:基本理念、特征与意义

多元文化课程开发的基本理念是将各民族文化精华融入学校现有课程中以反映文化多元的观点,使各民族文化得到应有的尊重和理解,培养学生形成跨文化适应能力.多元文化课程开发具有课程文化多元性、平等性、统整性、创生性等基本特征,是进行多元文化课程开发的前提和基础.多元文化课程开发是适应时代和社会发展的要求,因应课程改革的必然产物,也是多元文化教育发展的必经之途,有着十分重要的理论与现实意义.     

Clustering and classification problems in genetics through U-statistics

ABSTRACT

Genetic data are frequently categorical and have complex dependence structures that are not always well understood. For this reason, clustering and classification based on genetic data, while highly relevant, are challenging statistical problems. Here we consider a versatile U-statistics-based approach for non-parametric clustering that allows for an unconventional way of solving these problems. In this paper we propose a statistical test to assess group homogeneity taking into account multiple testing issues and a clustering algorithm based on dissimilarities within and between groups that highly speeds up the homogeneity test. We also propose a test to verify classification significance of a sample in one of two groups. We present Monte Carlo simulations that evaluate size and power of the proposed tests under different scenarios. Finally, the methodology is applied to three different genetic data sets: global human genetic diversity, breast tumour gene expression and Dengue virus serotypes. These applications showcase this statistical framework's ability to answer diverse biological questions in the high dimension low sample size scenario while adapting to the specificities of the different datatypes.     

A multiple testing protocol for exploratory data analysis and the local misclassification rate

A false discovery rate (FDR) procedure is often employed in exploratory data analysis to determine which among thousands or millions of attributes are worthy of follow-up analysis. However, these methods tend to discover the most statistically significant attributes, which need not be the most worthy of further exploration. This article provides a new FDR-controlling method that allows for the nature of the exploratory analysis to be considered when determining which attributes are discovered. To illustrate, a study in which the objective is to classify discoveries into one of several clusters is considered, and a new FDR method that minimizes the misclassification rate is developed. It is shown analytically and with simulation that the proposed method performs better than competing methods.