On an adaptive version of the Metropolis–Hastings algorithm with independent proposal distribution

In this paper, we present a general formulation of an algorithm, the adaptive independent chain (AIC), that was introduced in a special context in Gåsemyr et al . [ Methodol. Comput. Appl. Probab. 3 (2001)]. The algorithm aims at producing samples from a specific target distribution Π, and is an adaptive, non-Markovian version of the Metropolis–Hastings independent chain. A certain parametric class of possible proposal distributions is fixed, and the parameters of the proposal distribution are updated periodically on the basis of the recent history of the chain, thereby obtaining proposals that get ever closer to Π. We show that under certain conditions, the algorithm produces an exact sample from Π in a finite number of iterations, and hence that it converges to Π. We also present another adaptive algorithm, the componentwise adaptive independent chain (CAIC), which may be an alternative in particular in high dimensions. The CAIC may be regarded as an adaptive approximation to the Gibbs sampler updating parametric approximations to the conditionals of Π.     

A bayesian estimator for the dependence function of a bivariate extreme‐value distribution

Any continuous bivariate distribution can be expressed in terms of its margins and a unique copula. In the case of extreme‐value distributions, the copula is characterized by a dependence function while each margin depends on three parameters. The authors propose a Bayesian approach for the simultaneous estimation of the dependence function and the parameters defining the margins. They describe a nonparametric model for the dependence function and a reversible jump Markov chain Monte Carlo algorithm for the computation of the Bayesian estimator. They show through simulations that their estimator has a smaller mean integrated squared error than classical nonparametric estimators, especially in small samples. They illustrate their approach on a hydrological data set.     

构建我国法务会计人才培养模式

随着我国市场经济的快速发展，经济纠纷、经济案件中所涉及的财务会计问题越来越多，迫切需要法务会计人员从会计和法律的专业角度进行调查、取证和鉴定，为法庭提供专家意见。但我国法务会计理论研究滞后、从业人员素质不高、法务会计人才严重匮乏，远远不能满足日益增长的法务会计需求。由于法务会计与财务会计有较大区别，因此，我国应加强法务会计建设，强化法务会计理论研究，并针对我国法务会计的现状，构建学历教育、在职教育和社会教育三位一体的法务会计人才培养模式，以培养具有中国特色的、多层次的、复合型法务会计人才。     

A Non-parametric Frailty Model for Temporally Clustered Multivariate Failure Times

Abstract A model is introduced here for multivariate failure time data arising from heterogenous populations. In particular, we consider a situation in which the failure times of individual subjects are often temporally clustered, so that many failures occur during a relatively short age interval. The clustering is modelled by assuming that the subjects can be divided into ‘internally homogenous’ latent classes, each such class being then described by a time‐dependent frailty profile function. As an example, we reanalysed the dental caries data presented earlier in Härkänen et al. [Scand. J. Statist. 27 (2000) 577], as it turned out that our earlier model could not adequately describe the observed clustering.     

基于TOPSIS理论的企业供应商选择应用

供应链管理已经成为企业获取竞争优势的手段,供应商选择是企业构建供应链体系的重要内容。TOPSIS是一种简单易行的多因素选优的理论方法,它利用熵来确定评价指标的权重,避免了在确定评价指标权重时主观因素的影响,为公司的供应商选择提供了一种科学、量化、高效的手段。文章回顾了供应商选择的理论现状,介绍了TOPSIS理论模型和利用它进行供应商选择的步骤,通过对典型企业的深入调研,阐述了该企业如何应用TOPSIS进行供应商选择。     

附加价值链与企业长程发展

企业附加价值链表征企业文化的浓缩 ,是企业发展的生命线。企业附加价值链清晰、完备与否 ,是剖析企业存在、发展的根本之所在 ,也是考查、评价企业现状的基本依据。     

略论邓小平理论萌芽的界定及其标志

作为邓小平理论萌芽的标志不是某一具体的时间、论著、观点。对邓小平理论萌芽应作出系统的、全面的科学界定。邓小平理论萌芽的标志应该是时间段、论著链、观点网     

浅谈环境会计

文章对环境会计基本构成如环境会计目标、基本原则、环境问题对财务活动的影响、环境会计学分析等几个方面进行了深入研究 ,提出构建环境会计学的基本设想 ,为我国企业健康科学地发展 ,提供必要的财会业务支持     

A Unified Approach to the Characterization of Equivalence Classes of DAGs, Chain Graphs with no Flags and Chain Graphs

Abstract.  A Markov property associates a set of conditional independencies to a graph. Two alternative Markov properties are available for chain graphs (CGs), the Lauritzen–Wermuth–Frydenberg (LWF) and the Andersson–Madigan– Perlman (AMP) Markov properties, which are different in general but coincide for the subclass of CGs with no flags . Markov equivalence induces a partition of the class of CGs into equivalence classes and every equivalence class contains a, possibly empty, subclass of CGs with no flags itself containing a, possibly empty, subclass of directed acyclic graphs (DAGs). LWF-Markov equivalence classes of CGs can be naturally characterized by means of the so-called largest CGs , whereas a graphical characterization of equivalence classes of DAGs is provided by the essential graphs . In this paper, we show the existence of largest CGs with no flags that provide a natural characterization of equivalence classes of CGs of this kind, with respect to both the LWF- and the AMP-Markov properties. We propose a procedure for the construction of the largest CGs, the largest CGs with no flags and the essential graphs, thereby providing a unified approach to the problem. As by-products we obtain a characterization of graphs that are largest CGs with no flags and an alternative characterization of graphs which are largest CGs. Furthermore, a known characterization of the essential graphs is shown to be a special case of our more general framework. The three graphical characterizations have a common structure: they use two versions of a locally verifiable graphical rule. Moreover, in case of DAGs, an immediate comparison of three characterizing graphs is possible.     

汽车行业电子商务与供应链一体化集成分析

在研究了我国汽车行业供应链存在诸多不容忽视问题的基础上,提出了汽车行业实施电子商务与供应链一体化集成的管理学思想,分析了汽车行业实施电子商务与供应链一体化集成的技术、管理和经济三大主导驱动力量,构建了电子商务与汽车行业供应链进行一体化集成结构模型,并对汽车行业供应链一体化集成的具体功能模块进行了概要描述。