历史小说：在家庭文化的认同与互动之间

家庭文化对于历史小说家的审美趣味和历史观念具有重要影响,家学传统给予历史小说家的文化熏陶对于历史小说写作具有重要意义,情感的苦乐体验使作家对历史小说如何以史鉴今重塑中国文化和民族精神有着独特理解,但家庭文化的负面因素也造成了历史小说的缺憾和不足。     

立案登记制改革:理论基础、运行困境与路径优化

2015年5月1日起中国正式实施立案登记制,将案件受理制度由审查制改为登记制,这符合当事人诉权保障的趋势和需求.立案登记制具备诉权保障的功能,可以多维度地践行诉权保障理念,但同时也带来了实践中的滥诉和法院案件数剧增等现实挑战.司法权的属性决定了司法的有限性,其不能解决所有社会纠纷.当立案登记制给审判实践带来的挑战遭遇司法有限性时,势必出现一定程度的冲突.为了平衡这种冲突,需从以下方面进一步优化立案登记制的改革路径:明确立案过程中登记与审查的关系;制定和实施受案范围的负面清单;健全减少需求供给的配套措施;推进立案环节案件的甄别分流;构建滥诉的惩治与防范机制;减少非司法负担对法官职业化的影响.     

《警察与赞美诗》的功能文体学

运用功能文体学的理论,通过对三大元功能的介绍和应用对欧.亨利作品《警察与赞美诗》进行的分析。功能文体学为文学欣赏提供了有效的手段,使人们更好的对作品有了深层的理解和欣赏。     

Resampling-based Classification Using Depth for Functional Curves

The depths, which have been used to detect outliers or to extract a representative subset, can be applied to classification. We propose a resampling-based classification method based on the fact that resampling techniques yield a consistent estimator of the distribution of a statistic. The performance of this method was evaluated with eight contaminated models in terms of Correct Classification Rates (CCRs), and the results were compared with other known methods. The proposed method consistently showed higher average CCRs and 4% higher CCR at the maximum compared to other methods. In addition, this method was applied to Berkeley data. The average CCRs were between 0.79 and 0.85.     

公益诉讼费用分担方式的构建

公益诉讼费用是公益诉讼必然面临的问题,其合理与否极大地关系着人们享受法律保障的程度。但公益诉讼往往诉讼成本高,导致公益诉讼难以取得理想的预期效果,而现行的诉讼费用分担方式并不能完全适应公益诉讼的发展需要。因此,应从被告方分担、受益者分担、国家分担三方面入手,通过设立公益诉讼奖励基金以及费用移转支付的方式,建立起一个与公益诉讼理念相契合的公益诉讼费用分担方式。     

Sparse group lasso for multiclass functional logistic regression models

Sparsity-inducing penalties are useful tools for variable selection and are also effective for regression problems where the data are functions. We consider the problem of selecting not only variables but also decision boundaries in multiclass logistic regression models for functional data, using sparse regularization. The parameters of the functional logistic regression model are estimated in the framework of the penalized likelihood method with the sparse group lasso-type penalty, and then tuning parameters for the model are selected using the model selection criterion. The effectiveness of the proposed method is investigated through simulation studies and the analysis of a gene expression data set.     

中外上市公司独立董事机制之比较——从功能定位及权责的角度

独立董事制度产生后对美国公司治理起到了很大作用，并在其他国家迅速推广发展。该制度的引入本是我国上市公司解决内部人控制、一股独大问题的有利契机，但由于各种原因，独立董事在上市公司大股东侵害中小股东利益时未能发挥其应有的效用。文章通过对比研究我国与英美国家在独立董事功能定位、职权和责任上的不同之处，对完善我国独立董事机制提出一些建议。     

功能语境视域的《论语》歧义句语内翻译模式研究

语内翻译是典籍翻译过程中一个重要步骤,其对典籍歧义句的处理直接影响最终的翻译质量。在功能语境理论框架内,采用宏观功能语境分析和自下而上的具体分析相结合的方法,以《论语·学而篇》第8章“学则不固”的“固”字为例,对《论语》歧义句语内翻译进行研究,探讨可操作的翻译模式。研究发现在歧义句语内翻译过程中进行语境还原,有助消除词汇歧义;研究认为“学则不固”的“固”字应作“固陋”解译。      

Uncertainty Analysis for Functional Computer Output: A Simulation Study in Inverse Problems

Computer models with functional output are omnipresent throughout science and engineering. Most often the computer model is treated as a black-box and information about the underlying mathematical model is not exploited in statistical analyses. Consequently, general-purpose bases such as wavelets are typically used to describe the main characteristics of the functional output. In this article we advocate for using information about the underlying mathematical model in order to choose a better basis for the functional output. To validate this choice, a simulation study is presented in the context of uncertainty analysis for a computer model from inverse Sturm-Liouville problems.     

Conditional VAR and Expected Shortfall: A New Functional Approach

We estimate two well-known risk measures, the value-at-risk (VAR) and the expected shortfall, conditionally to a functional variable (i.e., a random variable valued in some semi(pseudo)-metric space). We use nonparametric kernel estimation for constructing estimators of these quantities, under general dependence conditions. Theoretical properties are stated whereas practical aspects are illustrated on simulated data: nonlinear functional and GARCH(1,1) models. Some ideas on bandwidth selection using bootstrap are introduced. Finally, an empirical example is given through data of the S&P 500 time series.