Correlation in a Bayesian framework

The authors consider the correlation between two arbitrary functions of the data and a parameter when the parameter is regarded as a random variable with given prior distribution. They show how to compute such a correlation and use closed form expressions to assess the dependence between parameters and various classical or robust estimators thereof, as well as between p‐values and posterior probabilities of the null hypothesis in the one‐sided testing problem. Other applications involve the Dirichlet process and stationary Gaussian processes. Using this approach, the authors also derive a general nonparametric upper bound on Bayes risks.     

Bayesian prediction of waiting times in stochastic models

The authors show how saddlepoint techniques lead to highly accurate approximations for Bayesian predictive densities and cumulative distribution functions in stochastic model settings where the prior is tractable, but not necessarily the likelihood or the predictand distribution. They consider more specifically models involving predictions associated with waiting times for semi‐Markov processes whose distributions are indexed by an unknown parameter θ. Bayesian prediction for such processes when they are not stationary is also addressed and the inverse‐Gaussian based saddlepoint approximation of Wood, Booth & Butler (1993) is shown to accurately deal with the nonstationarity whereas the normal‐based Lugannani & Rice (1980) approximation cannot, Their methods are illustrated by predicting various waiting times associated with M/M/q and M/G/1 queues. They also discuss modifications to the matrix renewal theory needed for computing the moment generating functions that are used in the saddlepoint methods.     

从原型理论看法语女性语言的形成

在社会语言学上,女性语言被看作是众多语言变体的一种,人们常常会从各个角度来探讨它形成的原因,而对它具体是如何形成的却很少提及。于是,文章在原型理论的框架下对法语女性语言原型的产生和这一语言变体的形成进行较为系统的描述,并通过对具体实例的分析,近距离地观察原型与范畴内其他成员的相似性并突出其在女性语言形成过程中不可磨灭的功绩。     

论二元户籍制度在中国的生成

我国二元户籍制度的构建过程分为三个阶段,即制度初建阶段、法制建设阶段和制度完善阶段。大量研究成果表明,二元户籍制度在中国的生成是经济、社会、政治及意识形态等因素综合影响的结果,其中政府最高决策层在制度选择过程中起到了决定性作用,并深刻影响了近三十年来的户籍制度改革进程。     

局部平稳过程、稳定过程及GARCH模型的比较研究

本文在Granger（2005）[1]研究成果的基础上对局部平稳过程的大样本性质进行了深入探讨,发现了一些颇具实际价值的理论结果,弥补了Granger（2005）仅利用预测效果标准得到金融数据生成过程的不足,进一步给出了适合于实证分析的判断金融数据生成过程的标准,并在此基础上详细讨论了局部平稳过程、稳定过程及GARCH模型在大样本情况下的区别。本文运用研究得到的结果,在非平稳框架下对中国股票市场上证180指数进行了分析,发现上证180指数收益率具有明显的非平稳特性,并在此基础上进一步讨论了中国股票市场的市场有效性问题。     

The predictive distributions of thinning‐based count processes

This paper shows that the term structure of conditional (i.e. predictive) distributions allows for closed form expression in a large family of (possibly higher order or infinite order) thinning‐based count processes such as INAR(p), INARCH(p), NBAR(p), and INGARCH(1,1). Such predictive distributions are currently often deemed intractable by the literature and existing approximation methods are usually time consuming and induce approximation errors. In this paper, we propose a Taylor's expansion algorithm for these predictive distributions, which is both exact and fast. Through extensive simulation exercises, we demonstrate its advantages with respect to existing methods in terms of the computational gain and/or precision.     

基于AHP的石油地质风险模糊综合评价体系研究

石油地质勘探风险的综合评价是石油地质勘探中确定目标系统的重要环节.文章利用层次分析法与模糊综合评价法,构建了石油地质勘探风险综合评价体系,详细讨论了评价指标含义、评价标准及评价要点,并提出了适宜的评价方法.     

构建和谐金融秩序加强金融决策科学化的研究

金融决策的正确与否对于经济增长起着直接的决定作用,而完善的金融决策体系是保证金融决策科学化的必要条件,科学化的金融决策程序是决定金融决策正确与否的关键。本文重点研究了如何建设科学化的金融决策体系,并按照科学金融决策程序进行决策,以期达到构建和谐金融秩序的目的。     

中国股市波动性与成交量共同的长期记忆性研究

研究了上证30指数和深圳成分指数所含个股的成交量与收益波动性的长程相关关系.文章应用多变量频域两步半参数估计方法,辅助数据加窗技术对非平稳时间序列的长期记忆性进行了一致有效的估计.研究结果发现中国股票市场的成交量和波动性均具有显著的长期记忆性,并且对于大多数股票而言,成交量序列与波动性序列具有相同的长期记忆性.表明同时驱动成交量和收益波动性的潜在信息流本身具有长期记忆特征.     

企业与非营利组织社会联盟实施战略分析

依托资源依赖、组织学习、新制度主义等视角,在识别企业与非营利组织社会联盟构成维度和类型的基础上,探索了企业与非营利组织社会联盟实施战略的决策依据和过程,构建“初始条件-治理过程-联盟绩效”的整体研究框架,并识别出可能影响联盟战略实施的情境特征.