对我国法院体制现代化的思考

我国当前的法院体制改革是司法体制改革中非常重要和关键的一个环节,也是我国始于清末的近百余年法院体制现代化历程中最具有历史意义的一个阶段。以司法独立为目标,以构建科学合理的具体制度为内容的法院体制现代化经历了百余年曲折艰难的历程,在21世纪的今天仍将继续其前进的步伐,走向更完善更科学的未来。     

论伍廷芳的司法独立思想

伍廷芳的司法独立思想建构在西方"三权分立"原则之上,其主要内容有三点:一是反对行政权干涉司法权;二是采用西方律师制、陪审制、公开审判、辩论式诉讼、无罪推定等西方资产阶级文明审判方式和原则;三是开办法律学堂,实行法官高薪制。伍廷芳的司法独立思想是中国近代法制思想的重要组成部分。     

论仲裁条款独立性原则

在商事仲裁立法中,对仲裁独立性原则有两种立场:相对独立与绝对独立。大多数国家采取了绝对独立的立场,但在我国的法律中,这两种现点均有反映。通过对仲裁条款独立性原则的法理分析,我国法律应坚持仲裁条款绝对独立的立场,摒弃相对独立的立法规定。     

论非审计服务对审计独立性的影响

随着会计行业竞争的日趋激烈和会计服务市场的发展,越来越多的会计师事务所把目光投向小风险、低成本、高回报的非审计业务。非审计业务的发展使其在注册会计师行业中占据了越来越重要的地位,它与审计独立性的关系历来为学术界及实务界所关注。     

Symbolic correlation integral

This paper aims to introduce the concept of symbolic correlation integral SC that is extensively used in many scientific fields. The new correlation integral SC avoids the noisy parameter 𝜀 of the classical correlation integral, defined by Grassberger and Procaccia (1983 Grassberger, P., Procaccia, I. (1983). Measuring the strangeness of strange attractors. Physica D: Nonlinear Phenomena 9(1–2):189–208.[Crossref], [Web of Science ®] , [Google Scholar]) and extensively used for constructing correlation-integral-based statistics, as in the BDS test. Once the free parameter 𝜀 disappears, it is possible to construct a nonparametric powerful test for independence that can also be used as a diagnostic tool for model selection. The symbolic correlation integral is also extended to deal with multivariate models, and a test for causality is proposed as an example of the theoretical power of the new concept. With extensive Monte Carlo simulations, the paper shows the good size and power performance of symbolic correlation-integral-based tests.     

The geometry of Gaussian double Markovian distributions

Gaussian double Markovian models consist of covariance matrices constrained by a pair of graphs specifying zeros simultaneously in the matrix and its inverse. We study the semi-algebraic geometry of these models, in particular their dimension, smoothness, and connectedness as well as algebraic and combinatorial properties.     

An efficient algorithm for finding the M most probable configurationsin probabilistic expert systems

A probabilistic expert system provides a graphical representation of a joint probability distribution which enables local computations of probabilities. Dawid (1992) provided a flow- propagation algorithm for finding the most probable configuration of the joint distribution in such a system. This paper analyses that algorithm in detail, and shows how it can be combined with a clever partitioning scheme to formulate an efficient method for finding the M most probable configurations. The algorithm is a divide and conquer technique, that iteratively identifies the M most probable configurations.     

Large Deviation Principles for Sequences of Maxima and Minima

In this article, we consider sequences of i.i.d. random variables and, under suitable conditions on the (common) distribution function, we prove large deviation principles for sequences of maxima, minima and pairs formed by maxima and minima. The i.i.d. random variables can be either unbounded or bounded; in the first case maxima and minima have to be suitably normalized.     

On Conditionally Independent Random Variables,Copula and Order Statistics

The copula representations for conditionally independent random variables and the distribution properties of order statistics of these random variables are studied.