后殖民理论及其意义

后殖民理论的先驱是一批旅居西欧的非洲知识分子 ,他们在 2 0世纪 5 0、6 0年代对殖民主义给殖民地遗留的问题进行思考。 2 0世纪 80、90年代 ,后殖民主义成为流行世界的文化思潮。作为后殖民主义的原创性理论 ,主要包括赛义德的“东方主义“、“文化霸权”理论 ;斯皮瓦克的“边缘中心化”理论 ;霍米·巴巴的“含混矛盾的杂糅”、“文化差异性发布”、“第三度空间”理论。后殖民理论呈现出复杂性、理论对抗性和两重性的特点 ,但其文化贡献和社会意义非常明显 :对“欧洲中心论”文化立场的批判、东方民族的文化建设和民主进程的推进都具有重要价值。     

早期在华传教士"独厚儒学"原因初探

受文艺复兴和宗教改革的影响和怀着对中华悠久文明的敬仰,以及出于发展自身、与新教抗衡之目的,以意大利耶稣会会士利玛窦为代表的基督教士在明末清初来华传教。在传教期间,他们基于传教现实和教义融合的考虑,“借儒宣教”、“独厚儒学”,成功地促成了中西哲学思想的一次大融合。他们的传教策略与在传统儒学接触中所采取的承认、包容和尊重态度对于我们今天的中西方文化交流有巨大的启示作用。     

On multivariate variable-kernel density estimates for time series

Let X₁ be a strictly stationary multiple time series with values in R^d and with a common density f. Let X₁,.,.,X_n, be n consecutive observations of X₁. Let k = k_n, be a sequence of positive integers, and let H_ni be the distance from X_i to its kth nearest neighbour among X_j, j i. The multivariate variable-kernel estimate f_n, of f is defined by where K is a given density. The complete convergence of f_n, to f on compact sets is established for time series satisfying a dependence condition (referred to as the strong mixing condition in the locally transitive sense) weaker than the strong mixing condition. Appropriate choices of k are explicitly given. The results apply to autoregressive processes and bilinear time-series models.     

Nonparametric mixture analysis of rock crab of the genus Leptograpsus

A nonparametric mixture analysis has been applied to study morphological characteristics of Leptograpsus crab. Two Gaussian models were also considered, one with the assumption of independent components and one with arbitrary relationship between the components. The three models then fitted to several combination of variables based on selecting different morphological characteristics. It has been observed that the nonparametric method gave the best result overall.     

The Bahadur representation for sample quantiles under strongly mixing sequence

Sun [2006, The Bahadur representation for sample quantiles under weak dependence. Statist. Probab. Lett. 76, 1238-1244] established the Bahadur representation for sample quantiles under the strongly mixing sequence. But there are some problems in the proofs of the main results. In the paper, we further investigate the Bahadur representation for sample quantiles under strongly mixing sequence and get better bound than that in Sun (2006).     

非线性协和模型：理论与方法

 本文系统梳理了十多年来非线性协和理论与方法的研究进展,从非线性协和概念的提出开始,对目前已给出的非线性协和的各种不同定义、具有非线性结构的时间序列的非平稳性检验、非线性协和关系的检验、非线性协和模型的参数与非参数估计方法、门限协和模型、以及非线性误差修正模型的研究状况进行了总结。     

多民族中国古代文学史教材编撰侧议

中华民族文学是多民族文学构成的共同体,具有多样统一的特点.一般来说,目前流行的高校文科中国古代文学史教材绝大多数没有充分注意到中国文学的多民族性这一特点,所述内容基本上是汉族文学及少量的少数民族作家的汉文创作.亟须编撰尽可能真正再现中华多民族文学原生态和民族特点的《中国古代文学史》.正确认识并解决好相关的理论问题是编撰多民族文学史教材的前提.应以多民族文学史观为指导,从民族融合和民族文化融合的切入点审视中国古代文学现象及其流程,对古代少数民族的作家书面文学和民间文学口头创作都给予足够的重视.基础研究和各民族文学专史的编写是综合性的多民族《中国古代文学史》产生的必要条件.     

Strong laws of large numbers for dependent heterogeneous processes: a synthesis of recent and new results

This paper surveys recent developments in the strong law of large numbers for dependent heterogeneous processes. We prove a generalised version of a recent strong law for Lz-mixingales, and also a new strong law for Lpmixingales. These results greatly relax the dependence and heterogeneity conditions relative to those currently cited, and introduce explicit trade-offs between dependence and heterogeneity. The results are applied to proving strong laws for near-epoch dependent functions of mixing processes. We contrast several methods for obtaining these results, including mapping directly to the mixingale properties, and applying a truncation argument.     

Estimating Mixing Densities in Exponential Family Models for Discrete Variables

This paper is concerned with estimating a mixing density g using a random sample from the mixture distribution f(x)=∫f x | θ)g(θ)dθ where f(· | θ) is a known discrete exponen tial family of density functions. Recently two techniques for estimating g have been proposed. The first uses Fourier analysis and the method of kernels and the second uses orthogonal polynomials. It is known that the first technique is capable of yielding estimators that achieve (or almost achieve) the minimax convergence rate. We show that this is true for the technique based on orthogonal polynomials as well. The practical implementation of these estimators is also addressed. Computer experiments indicate that the kernel estimators give somewhat disappoint ing finite sample results. However, the orthogonal polynomial estimators appear to do much better. To improve on the finite sample performance of the orthogonal polynomial estimators, a way of estimating the optimal truncation parameter is proposed. The resultant estimators retain the convergence rates of the previous estimators and a Monte Carlo finite sample study reveals that they perform well relative to the ones based on the optimal truncation parameter.