一种新的灰色绝对关联度模型及其应用

为了处理序列曲线间的负相关等问题,并使关联满足一定的性质,基于灰色关联分析的基本思想,本文利用数列曲线的平均相对变化态势构建了一种新的灰色绝对关联度模型,并探讨了模型的唯一性、对称性、相似性、平行性、一致性等性质,而后以新模型对我国及各省市区产业结构的有序度进行了测算,结果表明新模型计算简单,计算量小,更与实际相符。     

Statistical and computational tradeoff in genetic algorithm-based estimation

When a genetic algorithm (GA) is employed in a statistical problem, the result is affected by both variability due to sampling and the stochastic elements of algorithm. Both of these components should be controlled in order to obtain reliable results. In the present work we analyze parametric estimation problems tackled by GAs, and pursue two objectives: the first one is related to a formal variability analysis of final estimates, showing that it can be easily decomposed in the two sources of variability. In the second one we introduce a framework of GA estimation with fixed computational resources, which is a form of statistical and the computational tradeoff question, crucial in recent problems. In this situation the result should be optimal from both the statistical and computational point of view, considering the two sources of variability and the constraints on resources. Simulation studies will be presented for illustrating the proposed method and the statistical and computational tradeoff question.     

Selecting the regularization parameters in high-dimensional panel data models: Consistency and efficiency

This article considers panel data models in the presence of a large number of potential predictors and unobservable common factors. The model is estimated by the regularization method together with the principal components procedure. We propose a panel information criterion for selecting the regularization parameter and the number of common factors under a diverging number of predictors. Under the correct model specification, we show that the proposed criterion consistently identifies the true model. If the model is instead misspecified, the proposed criterion achieves asymptotically efficient model selection. Simulation results confirm these theoretical arguments.     

Regularization and variable selection for infinite variance autoregressive models

Autoregressive models with infinite variance are of great importance in modeling heavy-tailed time series and have been well studied. In this paper, we propose a penalized method to conduct model selection for autoregressive models with innovations having Pareto-like distributions with index α∈(0,2)$\alpha \in (\mathrm{0,2})$. By combining the least absolute deviation loss function and the adaptive lasso penalty, the proposed method is able to consistently identify the true model and at the same time produce efficient estimators with a convergence rate of n^−1/α$n^{-1/\alpha }$. In addition, our approach provides a unified way to conduct variable selection for autoregressive models with finite or infinite variance. A simulation study and a real data analysis are conducted to illustrate the effectiveness of our method.     

追求绝对自由:犯罪发生和发展的重要根源

自由有绝对性的一面,但自由的绝对性和绝对自由不是一回事。现实存在的自由都是相对的。追求绝对自由是造成犯罪发生和发展的一个重要根源,因为它将导致否认平等、蔑视秩序、拒绝规范,实际是行为上的随心所欲,意味着对他人自由的威胁和侵害。     

罪刑法定原则的产生与演变

深入了解罪刑法定原则的产生和发展过程,对于打击犯罪和保障人权具有重要的现实意义。罪刑法定原则起源于中世纪的英国大宪章,最初表现为严格的、绝对的罪刑法定原则;但是,随着时代的发展,严格的、绝对的罪刑法定原则已经逐渐演变为相对的、实质的罪刑法定原则。     

A Hedonic Price Function for a Northern BC Community

In this paper a hedonic price function forPrince George, a northern British Columbiacommunity, is estimated. In light of the lackof consensus regarding appropriate functionalform of a hedonic price function, a linearmodel is estimated and a battery of diagnostictests of model adequacy is performed. Twoestimation procedures are used, namely,ordinary least squares (OLS) and Least AbsoluteDeviation (LAD). The estimation results areused to form appropriate valuations ofcharacteristics of residential houses in PrinceGeorge.     

黑格尔与法的形而上学的完成

西方近代法哲学本质上是法的形而上学,而这种形而上学是由黑格尔最终完成的。黑格尔在绝对精神和思辨辩证法的基地上为法奠定了更牢固的形而上学基础。黑格尔在绝对精神的基础上实现了自然法与实在法、道德与法律、权力与权利、自由与法的统一。黑格尔依据＂国家是伦理的现实＂的观点,对现代法或权利做出了新的理解。黑格尔的法哲学标志着近代法的形而上学的完成。     

中国工业部门全要素能源效率状况分析——基于2005—2009年省际面板数据的实证研究

基于2005—2009年省际规模以上工业面板数据,构建DEA模型,从静态和动态两个角度实证分析了中国工业部门全要素能源效率状况。从静态角度来看：（1）中国工业部门全要素能源效率整体上处于中优水平,有约25％～40％的节能空间;（2）工业生产过程表现为能源利用相对低效,全要素能源效率低于全要素技术效率;（3）区域之间和区域内部的差畀性较大。工业全要素能源效率值在区域之间自东向西递减,而地区内部的差异性却自东向西增大。从动态角度来看：（1）2005—2009年,工业部门全要素能源效率整体上未发生实质性变化,绝大部分省份也未发生实质性变化;（2）工业全要素能源效率全国范围内差异性有减小趋势,各地区内部差异性将持续存在。     

智能小车系统设计

本文以STC89S52单片机为控制核心,结合光电传感器、LCD液晶屏、直流减速电机等硬件组成智能小车,通过软件系统设计实现小车对行驶路线的自动识别、自动避障、小车间相互协作等一些复杂的任务.本文设计的智能小车具有智能程度高、小车间协作能力强、控制精准、运行稳定、人机界面友好等优点,可替代人完成火灾火情探视、防爆排查等危险工作,在汽车无人驾驶、足球机器人的研究方面也有很好的应用前景.