对马尔可夫测度的研究

给出了马尔可夫测度定义，讨论了马尔可夫测度的一部分性质     

A NOTE ON EVANESCENT PROCESSES

This note examines the connection between μ-invariant measures for the transition function of a continuous-time Markov chain and those of its q-matrix, Q. The major result establishes a necessary and aufficient condition for a convergent μ-invariant measure for Q to be μ-inhant for the minimal transition function, P, under the assumption that P is honest. This corrects Theorem 6 of Vere-Jones (1969) and the first part of Corollary 1 of Pollett (1986), both of which assert that the above conclusion holds in the absence of this condition. The error was pointed out by E.A. van Doom (1991) and the counterexample which be presented provides the basis for the present arguments. In determining where the error occurred in the original proof, we are able to identify a simple sufficient condition for μ-invariance.     

先秦诸子对《诗》的解读与理念化

儒家以个人道德修养或国家仁政原则、礼义原则解释、运用《诗》;墨家从治国理念来释《诗》,把所引之《诗》说成是圣王之言;道家从自然主义立场出发,否定了《诗》的文化价值;法家从功利主义立场出发,否定了《诗》的社会功能。     

我国高校文科学报的“当代化”论

高校文科学报的“当代化”是相对于时下盛行的“现代化”而言的。它是根据我国高校文科学报的发生及其发展历程的阶段性特征 ,以及“当代化”所蕴涵的人类文明进程的阶段性定位和“与时俱进”的时代性体现的科学内涵而提出来的。“当代化”具有现实性和求真性的鲜明特征 ,对于 2 1世纪我国高校文科学报的发展是一种求真务实的选择。     

与时俱进 应势而变——浅议入世后我国高等职业教育发展的趋势

入世以后,必将对我国高等职业教育提出新的要求。高等职业教育必须顺应时代发展的趋势,与时俱进、应势而变,才能与时代同步。本文遵循以下思路展开:入世以后,对我国高等职业教育的发展趋势作一些前瞻性的探讨,在此基础上提出应对的措施。有利于我国高等职业教育主动地适应新形势发展的要求。     

与时俱进、创新理论是党的建设的基础——学习江泽民同志《论党的建设》

理论建设是党的建设的首要问题。与时俱进、创新理论是马克思主义基本原理的必然要求,是保持党的先进性的客观需要,是党的建设的永恒主题。     

唐宋变革论体系的演化

自近代以来，由日本学者构筑的唐宋变革论体系，伴随时代的发展与新的知识资源的扩充，呈现出不断发展变化的趋势。本文旨在揭示这一演化的历史过程，尝试着分析这一过程变动发展的原因，并由此作出区别于以往的评价。     

On a Dualization of Graphical Gaussian Models: A Correction Note

Abstract.  We correct two proofs concerning Markov properties for graphs representing marginal independence relations.     

左思风力之成因初探

西晋诗人左思的诗风在西晋文坛上独树一帜，称之为“左思风力”，前人对此有较多地论述，然而就诗风形成的原因却缺乏深入地探究。本文试图从社会时代背景、家庭因素、性格特征三个方面对此加以分析，旨在能够更好地把握左思其人及其诗风。     

Diagnostics for dependence within time series extremes

Summary. The analysis of extreme values within a stationary time series entails various assumptions concerning its long- and short-range dependence. We present a range of new diagnostic tools for assessing whether these assumptions are appropriate and for identifying structure within extreme events. These tools are based on tail characteristics of joint survivor functions but can be implemented by using existing estimation methods for extremes of univariate independent and identically distributed variables. Our diagnostic aids are illustrated through theoretical examples, simulation studies and by application to rainfall and exchange rate data. On the basis of these diagnostics we can explain characteristics that are found in the observed extreme events of these series and also gain insight into the properties of events that are more extreme than those observed.