Optimal scaling of Metropolis algorithms: Heading toward general target distributions

The authors provide an overview of optimal scaling results for the Metropolis algorithm with Gaussian proposal distribution. They address in more depth the case of high‐dimensional target distributions formed of independent, but not identically distributed components. They attempt to give an intuitive explanation as to why the well‐known optimal acceptance rate of 0.234 is not always suitable. They show how to find the asymptotically optimal acceptance rate when needed, and they explain why it is sometimes necessary to turn to inhomogeneous proposal distributions. Their results are illustrated with a simple example.     

A bayesian estimator for the dependence function of a bivariate extreme‐value distribution

Any continuous bivariate distribution can be expressed in terms of its margins and a unique copula. In the case of extreme‐value distributions, the copula is characterized by a dependence function while each margin depends on three parameters. The authors propose a Bayesian approach for the simultaneous estimation of the dependence function and the parameters defining the margins. They describe a nonparametric model for the dependence function and a reversible jump Markov chain Monte Carlo algorithm for the computation of the Bayesian estimator. They show through simulations that their estimator has a smaller mean integrated squared error than classical nonparametric estimators, especially in small samples. They illustrate their approach on a hydrological data set.     

一种LOG-MAP算法的改进迭代实现及其结构

对LOG-MAP算法进行了可并发性分析,利用可以完整接收一个N长符号传输帧的条件以及正向迭代和反向迭代中的固有对称性质,提出了LOG-MAP算法的一种修正迭代实现算法,其正向和反向迭代计算次数只需码长N的一半,故比标准LOG-MAP算法提高了一倍的处理速度,且没有空间开销的增加、同时,根据修正的迭代实现算法给出了相应的适于FPGA实现的双总线硬件结构的实现方案。     

儒家“德性”智慧与企业家“道德形象”

“三戒”之说，“屏四恶”思想，“绝四毋”之说，“尊五美”思想和“三贵之道”是儒家“德性”智慧的结晶。现代企业“形象管理”理论认为，成功的企业管理是由管理者的内在道德素质和外在礼仪形象决定的。打造企业家的“道德形象”，实施“自我管理”，应当从儒家“德性”智慧中汲取丰富的文化资源。     

以太网光桥的研究

根据有关网络技术和具体的实验,提出一种以太网光桥的实现方案,并对光桥的几个性能参数进行了分析讨论。     

Domains of convergence for the EM algorithm: a cautionary tale in a location estimation problem

The EM algorithm is a popular method for maximizing a likelihood in the presence of incomplete data. When the likelihood has multiple local maxima, the parameter space can be partitioned into domains of convergence, one for each local maximum. In this paper we investigate these domains for the location family generated by the t-distribution. We show that, perhaps somewhat surprisingly, these domains need not be connected sets. As an extreme case we give an example of a domain which consists of an infinite union of disjoint open intervals. Thus the convergence behaviour of the EM algorithm can be quite sensitive to the starting point.     

Bayesian analysis of outlier problems using divergence measures

A Bayesian approach is presented for detecting influential observations using general divergence measures on the posterior distributions. A sampling-based approach using a Gibbs or Metropolis-within-Gibbs method is used to compute the posterior divergence measures. Four specific measures are proposed, which convey the effects of a single observation or covariate on the posterior. The technique is applied to a generalized linear model with binary response data, an overdispersed model and a nonlinear model. An asymptotic approximation using Laplace method to obtain the posterior divergence is also briefly discussed.     

创新与核心能力体系研究

创新是企业经营要素的新组合。企业核心能力是企业发展能力中最重要的能力,它源于企业创新。企业创新点,实质在企业价值的“链环”上,企业核心能力的形成,关键在于建立价值链某个环节上的竞争优势,企业应当通过创新培育核心能力体系。而创新必须要有卓越的创意设计、科学的策划和有效的策略。     

论英语专业教学中学生非智力因素的培养

非智力因素是保证成功进行各种活动的必要心理条件。在英语专业课程学习中,学生的非智力因素能够直接转化为学习动机,把学习当作自觉行为。教师应注重学生兴趣、情感、意志、性格等非智力因素的培养,讲究教学艺术,建立宽松互动的学习环境,使学生的非智力因素在学习中起到重要作用。     

基于整合过程的企业并购绩效影响因素探析 ——以广东企业参与的并购事件为例

该文提出了基于整合过程的并购绩效影响因素的分析框架,通过理论研究并结合中国的特定环境因素,作者提出了相关假设,设计出量表,并依据问卷回收的数据对研究假设进行验证。研究发现,并购绩效受到协同潜力、业务整合程度与员工态度3个因素的影响。