误码率与随机共振

用Maltab语言的Simulink软件，构成一面向结构，而且可以定量分析非线性双稳系统随机共振现象的计算机仿真实验系统，并对输入字符串信息的符号误码率随噪声振幅变化的实验数据进行了拟合，验证了非线性系统特有的随机共振现象的存在。     

血管的三维重建

构建了血管的三维重建模型 ,并给出了模型的算法及其求解结果 .     

论公正性传播对新闻工作者的素质要求

公正性传播是获得世界性意义的新闻报道原则 ,实践这条原则需要新闻工作者具备多方面的素质。平等、自由、独立意识是公正性传播的直接理念依据 ,诚实、正直、无私品质是实现公正性传播的伦理保障。由于公正性传播要服务和服从于新闻的真实性要求 ,因此对平等、自由、独立的追求只能是适度的 ,对诚实、正直、无私的道德规范也应限制在一定的原则范围之内。     

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。     

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.     

网络人肉搜索与侵犯个人隐私权问题研究

通过对一些有关于人肉搜索的典型案例分析的基础上，揭示了人肉搜索的运行机制。人肉搜索是一种特殊的信息搜索方式，同时也是一种新的信息生产方式。正确使用的话可以弥补机器搜索引擎的不足，但如果被滥用的话，则可能造成对个人隐私权的侵犯。     

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.     

论互联网时代政治传播的个性化与多元化

政治传播的最终目的在于使受众成为完成党和政府的政治文化建构及政治行为实施的一部分。互联网作为新兴的大众传播媒介，它的兴起为政治传播提供了新的交流平台和多元化的言说空间。伴随着互联网成长起来的新生代以及这一代人所创造的新生代文化在客观上影响着当代政治的叙述方式，这种文化特征要求政治叙述具有个性化特征；同时，政治人物的个人形象在互联网时代的政治传播中也显示出前所未有的影响力。