HEAVY-TAILED-DISTRIBUTED THRESHOLD STOCHASTIC VOLATILITY MODELS IN FINANCIAL TIME SERIES

To capture mean and variance asymmetries and time‐varying volatility in financial time series, we generalize the threshold stochastic volatility (THSV) model and incorporate a heavy‐tailed error distribution. Unlike existing stochastic volatility models, this model simultaneously accounts for uncertainty in the unobserved threshold value and in the time‐delay parameter. Self‐exciting and exogenous threshold variables are considered to investigate the impact of a number of market news variables on volatility changes. Adopting a Bayesian approach, we use Markov chain Monte Carlo methods to estimate all unknown parameters and latent variables. A simulation experiment demonstrates good estimation performance for reasonable sample sizes. In a study of two international financial market indices, we consider two variants of the generalized THSV model, with US market news as the threshold variable. Finally, we compare models using Bayesian forecasting in a value‐at‐risk (VaR) study. The results show that our proposed model can generate more accurate VaR forecasts than can standard models.     

Detection and correction of artificial shifts in climate series

Summary.  Many long instrumental climate records are available and might provide useful information in climate research. These series are usually affected by artificial shifts, due to changes in the conditions of measurement and various kinds of spurious data. A comparison with surrounding weather-stations by means of a suitable two-factor model allows us to check the reliability of the series. An adapted penalized log-likelihood procedure is used to detect an unknown number of breaks and outliers. An example concerning temperature series from France confirms that a systematic comparison of the series together is valuable and allows us to correct the data even when no reliable series can be taken as a reference.     

语言禁忌现象的社会语言学考察

语言禁忌是一种常见的社会语言现象,渗透到社会生活的方方面面。汉语语言文字的特点对语言禁忌的发展产生了独特的影响,中国的文学传统进一步强化了语言魔力在人们心目中的影响。语言禁忌反映了人们对语言符号功能的认识,大脑的联想机制强化了汉语中以谐音为主要联想基础的语言禁忌的形成。在跨文化交际过程中,语言禁忌的问题往往会成为影响交际顺利进行的一个重要因素。     

优化专业结构,提高毕业生就业竞争力

随着社会以及高等教育改革的不断深化,高校毕业生就业形势日益严峻,根据用人单位对大学毕业生综合素质的要求和高校毕业学生对学校教学的意见反馈以及就业工作的现状,高等学校应优化专业结构,调整教学计划和课程设置体系,改革人才培养模式,努力提高毕业生就业竞争力。     

大学英语多项选择考试模式面临挑战

大比例多项选择考试模式在大学英语四、六级考试中己实施多年 ,它对推动我国的外语教育功不可没。但在我国的国情发生了巨大变化、整个国家正朝着国际化社会快速发展、社会各界急需实用型外语人才的今天 ,多年不变的大比例多项选择考试模式己经显示出它的不足。特别是IELTS;ESOL等国际实用性测试模式不断引入我国 ,它的确面临着改进和完善的挑战。     

综合文科教育专业人才培养和课程体系的理论研究与教学实践

为适应基础教育改革,开办了综合文科教育专业,在思想政治教育、历史教育和地理教育三个专业进行“主辅修制”改革的基础上,探讨以素质教育为核心,由传统分科教育为主向现代综合教育转变,由专业学科知识为中心向知识整合为中心转变。兼顾初中综合改革发展需要和传统分科教学的现实,培养的学生既能胜任初中综合课程《公民》、《社会》或《人文教育》等的教学,又能适应政治、历史和思想品德等分科课程的教学,还能适应乡镇经济、文化和社会发展需要的新型复合型师资。本文坚持理论研究与实践探索相结合的原则,确定了符合教育规律和实际的综合文科教育专业全新的培养目标和规格,建立了人才培养新模式,构建了全新的教育内容和课程体系。     

A theoretical basis for perturbation methods

In this paper we discuss a new theoretical basis for perturbation methods. In developing this new theoretical basis, we define the ideal measures of data utility and disclosure risk. Maximum data utility is achieved when the statistical characteristics of the perturbed data are the same as that of the original data. Disclosure risk is minimized if providing users with microdata access does not result in any additional information. We show that when the perturbed values of the confidential variables are generated as independent realizations from the distribution of the confidential variables conditioned on the non-confidential variables, they satisfy the data utility and disclosure risk requirements. We also discuss the relationship between the theoretical basis and some commonly used methods for generating perturbed values of confidential numerical variables.     

基于知识链的管理

论述了知识链的有关概念和特点,通过分析以往的知识链模型,提出了改进的知识链模型;对知识链管理的机制进行了分析;从控制论的角度,对知识链内部知识成长的机制进行了分析,并指出知识链内部知识转移的影响因素,为知识管理的发展提供了一定的理论依据。     

多媒体英语教学的优势

本文旨在通过提出多媒体教学手段的多种优势以及诸多专家学者的观点,同时谈到笔者在使用多媒体进行外语教学过程中的一些切身体会,进行理论和实践上的论证,以发掘外语教学中利用多媒体教学手段进行创新性“教”与自主性“学”的可能性,并进一步加强学生的自主性学习以及自我调节性学习,使外语教师更加高效地利用多媒体的优势进行理想的外语教学,同时使外语教学手段更加具有开放性和实践性。     

Geometric Method and Generalized Linear Models. Two Opposite Multiparametric Approaches Illustrated on a Sample of Pituitary Adenomas

We used two statistical methods to identify prognostic factors: a log-linear model (logistic and COX regression, based on the notions of linearity and multiplicative relative risk), and the CORICO method (ICOnography of CORrelations) based on the geometric significance of the correlation coefficient. We applied the methods to two different situations (a "case-control study' and a "historical cohort'). We show that the geometric exploratory tool is particularly suited to the analysis of small samples with a large number of variables. It could save time when setting up new study protocols. In this instance, the geometric approach highlighted, without preconceived ideas, the potential role of multihormonality in the course of pituitary adenoma and the unexpected influence of the date of tumour excision on the risk attached to haemorrhage.