Backfitting Random Varying-Coefficient Models with Time-Dependent Smoothing Covariates

Abstract.  In this paper, we propose a random varying-coefficient model for longitudinal data. This model is different from the standard varying-coefficient model in the sense that the time-varying coefficients are assumed to be subject-specific, and can be considered as realizations of stochastic processes. This modelling strategy allows us to employ powerful mixed-effects modelling techniques to efficiently incorporate the within-subject and between-subject variations in the estimators of time-varying coefficients. Thus, the subject-specific feature of longitudinal data is effectively considered in the proposed model. A backfitting algorithm is proposed to estimate the coefficient functions. Simulation studies show that the proposed estimation methods are more efficient in finite-sample performance compared with the standard local least squares method. An application to an AIDS clinical study is presented to illustrate the proposed methodologies.     

LENGTH-BIASING, CHARACTERIZATIONS OF LAWS AND THE MOMENT PROBLEM

A positive random variable X with a finite mean has an induced length-biased law represented by Y, and Y is stochastically larger than X. An independent uniform random contraction of Y, UY, has the same law as X if and only if the latter is exponential. This property is extended to non-uniform contractions and a more general notion of length-biasing. The distributional equality of X and W leads to a functional equation for the moment function of X, which has either Infinitely many solutions or none. When U is constant, X can have a log-normal law, but it can also have laws with the same moment sequence as this log-nod law. The case where U has a certain beta, or generalized beta, law give t3 characterizations of generalized gamma laws, or to products of independent copies of them. This occurs even when these laws are not determined by their moment sequences.     

音系层、词汇语法层与语义层三位一体的英语教学

韩礼德的系统功能语法直接和间接地激发了许多新的教学理论和方法的产生。英语教学中应尝试把该语法的六个核心思想之一的“层次的思想”与英语词汇教学联系起来,通过音系层、词汇语法层和语义层三位一体的英语教学法提高学生的英语综合知识和技能。     

基于互信息的功能磁共振图像配准

互信息作为衡量两幅图像配准的相似性测度函数,当两幅图像配准时,互信息达到最大值。该文提出了基于互信息脑功能磁共振图像配准新方法,采用了无需计算梯度的Powell直接搜索算法,并通过多分辨的方式加快了图像配准速度。磁共振的配准实验证明,互信息法能准确地实现多模态医学图像的配准,并且能达到亚像素的精度。     

植物功能基因组学手段

综述了近几年发展起来的几种植物功能基因组学手段，对这些方法的优缺点作了比较．并讨论了植物功能基因组学的发展前景。     

英语功能语法学与英语教学

不同于传统语法所提供的各种语法规则,功能语法学是一种非常丰富的语言描述方法,它关注语言在各种社会语境中使用的不同形态;并且还观察语言所承担的各种社会功能以及对读者或听众所产生的影响。它应当被当成是传统语法的丰富和补充。同时,功能语法提供给教师的是一种很有效的深入理解语篇的方法,并为提高教学质量提供了很多启示。     

广告英语中双关语的翻译

双关语的可译性一直是翻译界争论的热点。语言、文化及表达习惯的差异,使双关语翻译难以兼顾其双重含义。"功能对等"理论以译语读者为中心,注重译文在译语语言和文化环境中所预期达到的功能,为双关语的翻译另辟蹊径。对英语广告中双关语的翻译来说,译文只要能产生与原文相似的广告效应,能使译文读者获得与原文读者近乎相同的感受就是成功的翻译。     

影视翻译初探

本文提出了影视翻译的重要性 ,呼吁翻译届对影视翻译的重视。作者概括了影视语言的五大特点和应遵循的原则与技巧。在坚持传统的“信 ,达 ,雅”翻译观的基础上 ,提出了影视翻译应以“达”(通顺 )为主 ,以译入语观众为目标的功能对等翻译论 ,以期为影视翻译提供一种新的理论视角和操作模式。     

《红楼梦》语篇体裁标记语的英译

近年来《红楼梦》英译研究发展迅速,许多学者都从不同领域对其进行研究。但将功能语篇分析理论应用到《红楼梦》及其英译文的对比研究,国内外尚不多见。本文将以韩礼德系统功能语言学作为理论基础,从语篇分析的角度,以《红楼梦》原著及其杨宪益夫妇的英译本为语料,重点讨论《红楼梦》作为章回小说,其语篇体裁标记语在英译文中如何处理的。     

农村互助合作金融模式绩效分析

互助合作金融是中国农村金融市场的一种创新融资模式,尽管其组织化、制度化经营时间短、经验少,融资能力还很微小,但已经表现出财务上可持续发展的能力,在满足农户小额贷款方面的补充作用十分显著。资金互助合作密切了社会成员的相互关系,改善着农村社会关系,社会整体信用水平、将为之提高。论题分析了《农村资金互助社管理暂行规定》颁布前后农村互助合作金融模式的制度绩效、功能绩效和社会绩效。