中国创新活动和经济增长的关系——一个基于协整理论的初步研究

内生经济增长理论告诉我们,创新活动作为技术进步的主要来源能够持续推动经济增长。但是中国现阶段经济发展条件下创新对经济增长的推动作用到底有多大,创新活动对于经济增长的影响机制如何,现有的研究并没有给出一个令人信服的答案。本文采用协整理论和误差修正模型研究了经济增长和创新活动之间的关系。研究结果显示,我国创新活动对于经济增长短期内具有显著影响,但其影响程度与长期影响相比还存在着较大差距;从长期看各种创新活动中基础研究能够实现对经济增长更大的推动作用。     

组合预测误差信息矩阵研究

研究组合预测误差信息矩阵的结构与组合预测方法性质之间的联系,首次提出冗余信息概念,对最优组合预测方法的组合结构进行了研究。     

论"入世"后的职务犯罪及其防治

我国“入世” ,经济运行环境和行政管理模式将发生变化。关税减让、政务公开 ,减少了职务犯罪的机会 ;贸易自由、审批权集中 ,增大了职务犯罪的可能性。减少由“入世”给防治职务犯罪带来的消极影响 ,其根本措施仍是继续坚持“教育是基础 ,法制是保障 ,监督是关键”的方针 ,打防结合 ,标本兼治     

Bayesian analysis of elapsed times in continuous‐time Markov chains

The authors consider Bayesian analysis for continuous‐time Markov chain models based on a conditional reference prior. For such models, inference of the elapsed time between chain observations depends heavily on the rate of decay of the prior as the elapsed time increases. Moreover, improper priors on the elapsed time may lead to improper posterior distributions. In addition, an infinitesimal rate matrix also characterizes this class of models. Experts often have good prior knowledge about the parameters of this matrix. The authors show that the use of a proper prior for the rate matrix parameters together with the conditional reference prior for the elapsed time yields a proper posterior distribution. The authors also demonstrate that, when compared to analyses based on priors previously proposed in the literature, a Bayesian analysis on the elapsed time based on the conditional reference prior possesses better frequentist properties. The type of prior thus represents a better default prior choice for estimation software.     

析科技翻译论著中汉语语法术语的误用

随着科学技术的发展 ,研究和探讨科技翻译的著作不断问世 ,但是目前有些论述科技英汉、汉英翻译的书籍在使用汉语语法术语方面不够正确。该文从词、句子成分和句的角度分析了汉语语法术语误用的情况。     

An alternative to model selection in ordinary regression

The weaknesses of established model selection procedures based on hypothesis testing and similar criteria are discussed and an alternative based on synthetic (composite) estimation is proposed. It is developed for the problem of prediction in ordinary regression and its properties are explored by simulations for the simple regression. Extensions to a general setting are described and an example with multiple regression is analysed. Arguments are presented against using a selected model for any inferences.     

Loss functions for estimation of extrema with an application to disease mapping

It is often of interest to find the maximum or near maxima among a set of vector‐valued parameters in a statistical model; in the case of disease mapping, for example, these correspond to relative‐risk “hotspots” where public‐health intervention may be needed. The general problem is one of estimating nonlinear functions of the ensemble of relative risks, but biased estimates result if posterior means are simply substituted into these nonlinear functions. The authors obtain better estimates of extrema from a new, weighted ranks squared error loss function. The derivation of these Bayes estimators assumes a hidden‐Markov random‐field model for relative risks, and their behaviour is illustrated with real and simulated data.     

我国社区矫正制度的现状与思考

行刑社会化是当今世界行刑制度发展的必然趋向。然而。在我国长期的行刑实践中。由于受多种因素的制约和影响.行刑方式社会化程度明显不足的问题尚十分突出。面对日益开放的现代社会,近年来.我国受西方行刑社会化理念的影响和启迪,司法机关和行刑机关亦开始尝试进行行刑社会化方式的试点工作。并已取得了初步成效。本文描述了当前我国实行社区矫正的现状。从试点工作来看,社区矫正工作取得了很大的成功,但是试点工作刚刚开始,工作中仍然存在很多的问题值得研究。     

关于外汇期货套期保值比率的实证研究

最佳套期保值比率(OHR)的估计方法一直是金融工程理论研究的核心问题,从最开始的幼稚法到JSE法 以及随后的很多其他改进方法,保值效率都有不同程度的提高。使用包含误差修正结构的GARCH模型估计外汇 (澳大利亚元)期货的套期保值比率。通过效率比较,证实该模型所得到的套期保值比率比起传统方法都具有更好 的降低风险能力。     

Modelling map positional error to infer true feature location

The authors consider the issue of map positional error, or the difference between location as represented in a spatial database (i.e., a map) and the corresponding unobservable true location. They propose a fully model‐based approach that incorporates aspects of the map registration process commonly performed by users of geographic informations systems, including rubber‐sheeting. They explain how estimates of positional error can be obtained, hence estimates of true location. They show that with multiple maps of varying accuracy along with ground truthing data, suitable model averaging offers a strategy for using all of the maps to learn about true location.