独立董事“独立性”探讨

独立董事制度的引进,原本是寄期望于此新体制能够完善我国上市公司的公司治理结构。但由于种种原因,这项新制度并没有起到预期的效果,独立董事的"独立性"作用没有得到应有的发挥。我国的独立董事制度建设应具有权威性,赋予给独立董事的权利与其承担的义务应相当。独立董事职责重大,在实践中如何保证他们职责的有效行使是我们应重点考虑的问题,也是独立董事制度能否真正有效的关键。     

重庆市培育金融核心区：布局、路径与对策

金融核心区的培育是提升重庆金融集聚力和辐射力以及构建长江上游地区金融中心的关键因素.在审视金融核心区的概念、内涵和重庆市培育金融核心区的必要性、可能性基础上,运用大系统分析方法的原理,提出重庆金融核心区的规划布局和总体思路;基于产业集群理论探讨重庆金融核心区的培育路径与对策.研究认为,培育重庆金融核心区,要在运筹高端金融商务发展体系、夯实现代金融业发展平台、拓展金融业发展空间等三个方面合理布局金融产业,促进形成金融业产业集群,并优化金融生态环境和金融主体结构、强化金融资源共享和政府公共服务职能.     

Markov Properties for Acyclic Directed Mixed Graphs

We consider acyclic directed mixed graphs, in which directed edges ( x → y ) and bi-directed edges ( x ↔ y ) may occur. A simple extension of Pearl's d -separation criterion, called m -separation, is applied to these graphs. We introduce a local Markov property which is equivalent to the global property resulting from the m -separation criterion for arbitrary distributions.     

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.     

An empirical likelihood goodness-of-fit test for time series

Summary. Standard goodness-of-fit tests for a parametric regression model against a series of nonparametric alternatives are based on residuals arising from a fitted model. When a parametric regression model is compared with a nonparametric model, goodness-of-fit testing can be naturally approached by evaluating the likelihood of the parametric model within a nonparametric framework. We employ the empirical likelihood for an α -mixing process to formulate a test statistic that measures the goodness of fit of a parametric regression model. The technique is based on a comparison with kernel smoothing estimators. The empirical likelihood formulation of the test has two attractive features. One is its automatic consideration of the variation that is associated with the nonparametric fit due to empirical likelihood's ability to Studentize internally. The other is that the asymptotic distribution of the test statistic is free of unknown parameters, avoiding plug-in estimation. We apply the test to a discretized diffusion model which has recently been considered in financial market analysis.     

经济转轨期农村经营模式:路径、绩效与创新

目前,我国农村实行的是以家庭承包经营为基础的双层经营体制。这种体制的弊端在于土地难以流转、经营规模太小、市场联系面窄、抵抗风险能力弱、农业资本投资不足、土地使用效率低等。要进一步发展农村经济,就必须创新经营模式,下一步应该把突破口放在以产权清晰为基础的统一经营上,建立农村家庭、涉农企业、集体和政府利益协同的产业链,把重点放在农产品的加工和流通环节,以企业为龙头,建立大市场大流通,实现规模经济效应。     

Maximum Likelihood Inference for Log-linear Models Subject to Constraints of Double Monotone Dependence

To model an hypothesis of double monotone dependence between two ordinal categorical variables A and B usually a set of symmetric odds ratios defined on the joint probability function is subject to linear inequality constraints. Conversely in this paper two sets of asymmetric odds ratios defined, respectively, on the conditional distributions of A given B and on the conditional distributions of B given A are subject to linear inequality constraints. If the joint probabilities are parameterized by a saturated log-linear model, these constraints are nonlinear inequality constraints on the log-linear parameters. The problem here considered is a non-standard one both for the presence of nonlinear inequality constraints and for the fact that the number of these constraints is greater than the number of the parameters of the saturated log-linear model.This work has been supported by the COFIN 2002 project, references 2002133957_002, 2002133957_004. Preliminary findings have been presented at SIS (Società Italiana di Statistica) Annual Meeting, Bari, 2004.     

理解生成探幽

哲学理解的生成,是由生成方法、生成路径和生成判据三个步骤来完成的。具体地说:在理解生成的方法中,并存着演绎法、归纳法、目的法三种方法,而目的法是生成理解的根本方法,因为生成理解就在于揭示目的;在理解生成的路径中,如果采用目的方法,则要解决理解的层面性和客观性问题,因为层面性和客观性牵涉到生成某一具体理解的最佳途径;在理解生成的判据中,某一具体理解的生成,其判据就是信念的确立,因为正是信念才构成个人与现实之间的价值关系。     

共同背景和梦想下的相互依存——对《人与鼠》中两人物对话的分析

心理语言学家认为交谈者双方的诸多特性因素无疑会影响交谈过程的本质,这些特性包括交谈双方的年龄、性别、社会地位、种族背景、友谊的程度和关系的亲密程度.由美国著名作家约翰·斯坦贝克所著的《人与鼠》是一部极其感人并长期为读者喜爱的作品.该作品描写了两个劳动工人间真挚的友谊,相互依存以及共同的梦想.从《人与鼠》中,我们可以得知两人物之间的对话是有特性的,他们真势的友谊,相互依存以及共同的梦想是影响其交流方式最重要的特性.通过分析其背景,共同话题,共同梦想,我们可以总结出两人物的谈话方式是与心理语言学交谈的本质特性相符.     

内陆外向型城市建设的障碍因素集层次结构分析模型

本文以西安内陆外向型城市建设为例，运用系统工程的基本思想、网络理论及综合评价技术，构建了内陆外向型城市建设的障碍因素集层次结构分析模型，找到了西安内陆外向型城市建设的主要和次要障碍因素集，提出了在目前和今后较长的一段时间内，西安内陆外向型城市建设的主要任务是大力发展第三产业。本模型方法对其它地区的内陆外向型城市建设及复杂的社会经济系统障碍因素定量分析研究也有较好的参考价值