Breakthroughs on Fundamental Issues of Socialist Political Economy in China’s Economic Reform

How to effectively integrate the basic economic system of the primary stage of socialism in which public ownership is the dominant and diverse economic sectors develop side by side with a resource allocation model in which the market plays a decisive role is a fundamental issue in building a socialist political economy with Chinese characteristics. Western bourgeois economics and the traditional understanding of Marxist classical writers reject the possibility of such integration. In the transitional countries of Central and Eastern Europe, the practice and theoretical exploration of combining the two ended by abandoning public ownership. The fundamental feature of socialist economic reform practice with Chinese characteristics is to uphold their organic unity. This approach has already achieved great progress but at the same time is confronting a series of new problems.     

Efficient Inference for Longitudinal Data Varying‐coefficient Regression Models

Informative identification of the within‐subject correlation is essential in longitudinal studies in order to forecast the trajectory of each subject and improve the validity of inferences. In this paper, we fit this correlation structure by employing a time adaptive autoregressive error process. Such a process can automatically accommodate irregular and possibly subject‐specific observations. Based on the fitted correlation structure, we propose an efficient two‐stage estimator of the unknown coefficient functions by using a local polynomial approximation. This procedure does not involve within‐subject covariance matrices and hence circumvents the instability of calculating their inverses. The asymptotic normality of resulting estimators is established. Numerical experiments were conducted to check the finite sample performance of our method and an example of an application involving a set of medical data is also illustrated.     

从文论与书论互动视角看《文心雕龙·练字》篇

《文心雕龙·练字》篇既是对文章作法理论的论述,又涉及了文章书写具体技巧,在文学艺术史上极为可贵。《练字》篇中述及文字的产生、发展、六书之结构、书体之演变、汉律之法规等一系列问题,保存了我国早期关于文字理论的研究成果,为我们今天探讨、研究古代文字以及书体的发展演变过程提供了不可或缺的资源。而文化作为书法的根基和土壤,其重要性日渐凸显,因此从古代文学理论中汲取营养并指导书法实践是可行之路。《文心雕龙·练字》篇及其他相关篇章所涉及到的批评方法和理论范畴对当代书法的价值和意义亦在于此。     

公安微博新文体的语篇构式语法研究

公安微博新文体是公安机关或民警为了提高公安工作效率，建立良性的网络警民关系，在借鉴或效仿各类网络新文体的基础上而特别设计的微博博文。在对语篇构式语法以及语篇构式压制进行介绍的同时，试用语篇构式理论的压制观，从混合语类式语篇构式压制和语篇构式结构对语篇内容的压制两方面对公安微博新文体进行解释分析。研究结果表明：公安微博新文体内部的语篇压制机制是促成网友接受该类语篇的主要原因。     

Bootstrapping mean‐squared errors of robust small‐area estimators: Application to the method‐of‐payments surveys data

This paper proposes a new bootstrap procedure for mean‐squared errors of robust small‐area estimators. We formally prove the asymptotic validity of the proposed bootstrap method and examine its finite‐sample performance through Monte Carlo simulations. The results show that our procedure performs well and competes with existing ones. We also provide an application to the estimation of the total volume and value of cash, debit card, and credit card transactions in Canada as well as in its provinces and subgroups of households. In particular, we found that there is a significant average annual decline rate of 3.1% in the volume of cash transactions and that this decline is relatively higher among high‐income households living in heavily populated provinces. Our bootstrap estimator also provides indicators of quality useful in selecting the best small‐area predictor among several alternatives in practice.     

On the asymptotic behaviour of the recursive Nadaraya–Watson estimator associated with the recursive sliced inverse regression method

We investigate the asymptotic behaviour of the recursive Nadaraya–Watson estimator for the estimation of the regression function in a semiparametric regression model. On the one hand, we make use of the recursive version of the sliced inverse regression method for the estimation of the unknown parameter of the model. On the other hand, we implement a recursive Nadaraya–Watson procedure for the estimation of the regression function which takes into account the previous estimation of the parameter of the semiparametric regression model. We establish the almost sure convergence as well as the asymptotic normality for our Nadaraya–Watson estimate. We also illustrate our semiparametric estimation procedure on simulated data.     

The value of VMI beyond information sharing in a single supplier multiple retailers supply chain under a non-stationary (Rn,Sn) policy

This study aims to determine the value of vendor-managed inventory (VMI) over independent decision making with information sharing (IS) under non-stationary stochastic demand with service-level constraints. For this purpose, we utilize mixed-integer linear programming formulations to quantify the benefits that can be accrued by a supplier, multiple retailers and the system as a whole by switching from IS to VMI. More specifically, we investigate the incremental value that VMI provides beyond IS in terms of expected cost savings, inventory reductions, and decrease in shipment sizes from the supplier to the retailers by conducting a large number of computational experiments. Results reveal that the decision transfer component of VMI improves these performance measures significantly when the supplier׳s setup cost is low and order issuing efficiency is high. The benefits offered by VMI are negligible under the problem settings where the supplier׳s order issuing efficiency is low and the production setup serves solely a single replenishment under IS.     

Time varying long memory parameter estimation for locally stationary long memory processes

The semiparametric estimators of time varying long memory parameter are investigated for locally stationary long memory processes. The GPH estimator and the local Whittle estimator are considered. Under some mild regularity assumptions, the weak consistency and the asymptotic normality of the estimators are obtained. The finite sample performance of the estimators is discussed through a small simulation study.