叙事的解构

加拿大作家鲁迪·威伯在《发现陌生人》中运用了复杂的叙事结构 ,用多重叙事者和多角度展现不同的生活经历、心理过程和意识活动 ,以及不同的世界观和价值取向。小说多画面、多视点的叙事手法表现了作者对传统历史、文化和现实的挑战 ;威伯站在多重叙述者的角度 ,意在对历史 ,对特定的民族和文化进行解构。     

英文段落的推展模式及内部衔接机制初探

从篇章语言学的角度看 ,英文段落依层级的概括性推展 ,并呈典型的直线性发展模式。英文作者主要利用词汇相等链、链式结构和编列结构衔接段中各语句来推展段落 ,从而使段落具有交际功能。英文语篇结构模式对英文习得者来说具有实际指导意义     

试论刘庆邦小说的叙事特征

刘庆邦是近年来小说界非常值得我们关注的一位作家。他的作品具有回归传统和生活本原意义的现实主义写作风格。小说的叙事风格值得关注。本文试从政治观、爱情观、心理、细节四个方面阐述作家带给阅读者的诗意感受     

切入“历史”后的视点——论“新历史小说”的叙事角度

“新历史小说”，自生成之日起就存在着命名、指认等一系列问题上的争议，这一现象的出现，除了与其自身内涵和外延的不确定性有关之外，还与其叙事上的独特角度密不可分。有鉴于此，结合“新历史小说”出现的时代背景，通过对其结构特质的三个主要方面，即第一人称视角与“历史”同步、聚焦变换与情感演绎、民间视野及其视点应用进行阐释，就成为一道重要的逻辑线索。     

ELICITING A DIRECTED ACYCLIC GRAPH FOR A MULTIVARIATE TIME SERIES OF VEHICLE COUNTS IN A TRAFFIC NETWORK

The problem of modelling multivariate time series of vehicle counts in traffic networks is considered. It is proposed to use a model called the linear multiregression dynamic model (LMDM). The LMDM is a multivariate Bayesian dynamic model which uses any conditional independence and causal structure across the time series to break down the complex multivariate model into simpler univariate dynamic linear models. The conditional independence and causal structure in the time series can be represented by a directed acyclic graph (DAG). The DAG not only gives a useful pictorial representation of the multivariate structure, but it is also used to build the LMDM. Therefore, eliciting a DAG which gives a realistic representation of the series is a crucial part of the modelling process. A DAG is elicited for the multivariate time series of hourly vehicle counts at the junction of three major roads in the UK. A flow diagram is introduced to give a pictorial representation of the possible vehicle routes through the network. It is shown how this flow diagram, together with a map of the network, can suggest a DAG for the time series suitable for use with an LMDM.     

试述小说《色·戒》的叙事技巧

在小说《色·戒》中,张爱玲运用现代叙事方式显示出其作品独特的叙事魅力。这里运用叙述学理论,从形式角度详尽剖析张爱玲小说现代叙事艺术,指出个人叙事对宏大叙事的消解、限知视角对全知视角的侵入、叙事时间对故事时间的超越是小说《色·戒》叙事的主要特色。     

A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models

Factor analytic variance models have been widely considered for the analysis of multivariate data particularly in the psychometrics area. Recently Smith, Cullis & Thompson (2001) have considered their use in the analysis of multi‐environment data arising from plant improvement programs. For these data, the size of the problem and the complexity of the variance models chosen to account for spatial heterogeneity within trials implies that standard algorithms for fitting factor analytic models can be computationally expensive. This paper presents a sparse implementation of the average information algorithm (Gilmour, Thompson & Cullis, 1995) for fitting factor analytic and reduced rank variance models.     

莫泊桑短篇小说中的第一人称叙述

莫泊桑的短篇小说堪称一绝,在叙事上独具特色。与其他现实主义作家不同,莫泊桑喜欢采用第一人称叙述,他笔下的叙述者"我"并非都是全知全能,大部分叙述者权利有限。更为独特的是,他在这类作品中首创的叙述分层的手法,使得人物成一种对话关系。他对叙述者权利的限制使得作品意义留有空白。叙述语调的中立要求读者积极参与作品意义的建构,这极大增强了短篇小说的可读性,也使他的作品带有现代主义的气息。     

Some results on optimality in models with heteroscedastic errors from partial optimum designs

This paper studies optimum designs for linear models when the errors are heteroscedastic. Sufficient conditions are given in order to obtainD-, A- andE-optimum designs for a complete regression model from partial optimum designs for some sub-parameters. A result about optimality for a complete model from the optimality for the submodels is included. Supported by Junta de Andalucía, research group FQM244.     

Block external bootstrap in partially linear models with nonstationary strong mixing error terms

The authors extend the block external bootstrap to partially linear regression models with strongly mixing, nonstationary error terms. In addition to providing an approximate distribution for the semiparametric least square estimator of the parametric component, they propose a consistent estimator of the co‐variance matrix of this estimator.