太湖黄颡鱼生物学和渔业的初步分析

分析了太湖黄颡鱼（Peteobagrusfulvidraco）的一般生物学特性,包括种内性状变异、年龄与生长、食性、繁殖等,并对黄颡鱼在太湖渔业开发中的作用进行了评价。结果表明：黄颡鱼对太湖经济鱼类危害不大,而且有抑制野杂鱼过量繁殖的作用,因此认为在太湖现有的生态条件下,黄颡鱼应作为优质鱼类加以保护。     

一个不可逆相变问题的整体古典解

给出了一个不可逆相变问题,证明了其整体古典解的存在性和唯一性．     

随机系数离散值时间序列模型

 本文建立了q阶随机系数整值滑动平均模型。研究发现：固定指标t,该过程服从泊松分布;求得该过程的期望、方差、协方差;证明了该过程是宽平稳过程,均值与协方差均是遍历的;得到了特殊情况下模型参数的矩法估计,该估计是相合估计。通过Monte Calro模拟来验证估计结量的优劣。     

地方大学科技服务策略探讨

为地方经济发展提供智力支持和科技服务是地方大学的重要价值之一．在地方经济社会进行快速转型的形势面前，地方大学应以“立足地方、主动适应、把握形势、积极引导”为基本的科技服务策略，充分利用自身的科研资源优势，全面服务于地方的经济转轨、产业调整和高新技术发展．     

传神论：中国画的创作意象和造形法则

本文论述了传神在中国绘画美学中的重要位置，“神”是包括绘画在内的中国艺术精神的核心，并阐述了在传神的原则提导下，中国人物画的艺术特点和创作方法     

特强聚酯缝纫线生产工艺探讨

本文结合生产实际,从原料选择,工艺流程及设备,各工序工艺设计及要求等,对特强聚酯缝纫线纺纱生产工艺进行了探讨.     

CONVERGENCE AND PREDICTION OF PRINCIPAL COMPONENT SCORES IN HIGH-DIMENSIONAL SETTINGS

A number of settings arise in which it is of interest to predict Principal Component (PC) scores for new observations using data from an initial sample. In this paper, we demonstrate that naive approaches to PC score prediction can be substantially biased towards 0 in the analysis of large matrices. This phenomenon is largely related to known inconsistency results for sample eigenvalues and eigenvectors as both dimensions of the matrix increase. For the spiked eigenvalue model for random matrices, we expand the generality of these results, and propose bias-adjusted PC score prediction. In addition, we compute the asymptotic correlation coefficient between PC scores from sample and population eigenvectors. Simulation and real data examples from the genetics literature show the improved bias and numerical properties of our estimators.     

Regularization and variable selection via the elastic net

Summary.  We propose the elastic net, a new regularization and variable selection method. Real world data and a simulation study show that the elastic net often outperforms the lasso, while enjoying a similar sparsity of representation. In addition, the elastic net encourages a grouping effect, where strongly correlated predictors tend to be in or out of the model together. The elastic net is particularly useful when the number of predictors ( p ) is much bigger than the number of observations ( n ). By contrast, the lasso is not a very satisfactory variable selection method in the p ≫ n case. An algorithm called LARS-EN is proposed for computing elastic net regularization paths efficiently, much like algorithm LARS does for the lasso.     

开放经济中的泰勒规则——对中国货币政策的检验

一、前言泰勒(1993)曾提出一个非常具体而又简单的货币政策规则,同时利用此规则考察了美国1987～1992年的货币政策,并且发现这种规则和美国货币政策的实际操作拟合得很好,这就是著名的“泰勒规则”。近来的许多研究也表明,该规则能较好地反映西方国家成功的货币政策实践的实质,所以实际上也已经成为美联储、欧洲中央银行、英格兰银行和加拿大银行操作货币政策的理论依据。泰勒法则的提出最初实际上是来源于对经济数据的实证分析,因而缺乏坚实的理论基础;以Clarida等(1997,2000)为代表的一些经济学家就把研究方向转向现代经济学理论模型,并…