德法兼治是构建社会主义和谐社会的必要条件

没有健全的法制,良好的社会道德秩序就不可能建立;而没有良好的公民道德素质,法制建设也会缺乏必要的道德基础。因此,构建社会主义和谐社会,既要有社会主义法制作为保障,也离不开良好社会道德秩序的支撑。面对带有法治经济和道德经济双重属性的社会主义市场经济体制,一方面,需要用法治维护市场经济的正常秩序,实现宏观调控;另一方面,要提高公民的道德素质,增强公民遵纪守法的自觉性。     

中国特色社会主义理论体系的研究范畴

中国特色社会主义理论体系是马克思主义中国化的最新成果。然而在如何构建中国特色社会主义理论体系及其研究范畴这个问题上,学术理论界还存在不同的见解和看法。基于理论来源于实践并受实践检验这一基本原理,在研究这一问题时,需要将马克思主义的基本原理和中国具体实践与时代特征相结合。需要对社会主义现代化建设实践中遇到的一些热点和难点问题进行概括分析;以充分认识实践的根源性为指导,聚焦于社会主义现代化建设实践中所亟待解决的一些根源性的问题．进而为丰富和发展中国特色社会主义理论体系提供智力支撑．     

重提六个“为什么”的历史根源与现实取向

重提六个“为什么”,是基于国内外对社会主义仍存在疑问、国际上意识形态的斗争从未停息、国内仍存在“资本主义化”论调、“纯而又纯”理论仍有市场的背景。科学回答此问题。就要从理论高度解释六个“为什么”,从历史角度重新申明六个“为什么”,从特殊背景明确回答六个“为什么”。     

论“与时俱进”的实践智慧本性——对“与时俱进”普遍思想方法价值的哲学阐释

中国特色社会主义建设的活动条件把它放置到实践智慧这一人类理智活动类型中,因而必须遵守实践智慧的普遍活动规律.实践智慧具有从特殊到特殊等不同于逻辑思维的活动方式,内在地要求把"与时俱进"作为思维法则,因此"与时俱进"具有实践智慧本性.教条主义和激进主义都是不当地在实践领域简单使用抽象逻辑思维的必然后果.在建设中国特色社会主义过程中,必须贯彻与时俱进这一思想方法,从而在实践智慧的光芒指引下,不断从胜利走向胜利.     

论制度变迁的动力机制与中国特色社会主义

加强对制度变迁的动力机制研究对于推动社会发展与转型、制度变迁与创新具有重要意义.生产力与生产关系的矛盾运动是制度变迁的最终决定力量,决定了中国特色社会主义必须坚持把发展作为党执政兴国的第一要务,人的需求与发展对制度变迁与创新起根本的推动作用,决定了中国特色社会主义必须坚持以人为本,社会意识形态是制度变迁的推动力量,决定了中国特色社会主义必须建立社会主义核心价值体系,自然环境和社会环境是制度变迁的外部力量,决定了中国特色社会主义必须加强生态保护和社会建设.     

Unifying CRM and EWOC designs for phase I cancer clinical trials

The main goal of phase I cancer clinical trials is to determine the highest dose of a new therapy associated with an acceptable level of toxicity for the use in a subsequent phase II trial. The continual reassessment method (CRM) [O’Quigley, J., Pepe, M., Fisher, L., 1990. Continual reassessment method: a practical design for phase I clinical trials in cancer. Biometrics 46, 33–48] and escalation with overdose control (EWOC) [Babb, J., Rogatko, A., Zacks, S., 1998. Cancer phase I clinical trials: efficient dose escalation with overdose control. Statist. Med. 17 (10), 1103–1120] are two model-based designs used for phase I cancer clinical trials. A few modifications of the (original) CRM and EWOC have been made by many authors. In this paper, we show how CRM and EWOC can be unified and present a hybrid design. We study the characteristics of the approach of the hybrid design. The comparisons of the three designs (CRM, EWOC, and the hybrid design) are presented by convergence rates and overdose proportions. The simulation results show that the hybrid design generally has faster convergence rates than EWOC and smaller overdose proportions than CRM, especially when the true maximum tolerated dose (MTD) is above the mid-level of the dose range considered. The performance of these three designs is also evaluated in terms of sensitivity to outliers.     

Model selection for Lévy measures in diffusion processes with jumps from discrete observations

We deal with parametric inference and selection problems for jump components in discretely observed diffusion processes with jumps. We prepare several competing parametric models for the Lévy measure that might be misspecified, and select the best model from the aspect of information criteria. We construct quasi-information criteria (QIC), which are approximations of the information criteria based on continuous observations.     

六十年的光辉历程举世瞩目的辉煌成就

从1949年新中国成立至今,已经整整印年.新中国60年的历程,就是党领导全国各族人民探索、建立、发展中国特色社会主义的光辉历程.新中国成立60年以来,我们在经济建设、政治建设、文化建设和社会建设等各方面取得了举世瞩目的辉煌成就.总结新中国60年的宝贵经验,有助于我们坚持中国特色社会主义道路,进一步推动中国特色社会主义伟大事业向前发展.     

Empirical Uncertain Bayes Methods in Area‐level Models

Random effects model can account for the lack of fitting a regression model and increase precision of estimating area‐level means. However, in case that the synthetic mean provides accurate estimates, the prior distribution may inflate an estimation error. Thus, it is desirable to consider the uncertain prior distribution, which is expressed as the mixture of a one‐point distribution and a proper prior distribution. In this paper, we develop an empirical Bayes approach for estimating area‐level means, using the uncertain prior distribution in the context of a natural exponential family, which we call the empirical uncertain Bayes (EUB) method. The regression model considered in this paper includes the Poisson‐gamma and the binomial‐beta, and the normal‐normal (Fay–Herriot) model, which are typically used in small area estimation. We obtain the estimators of hyperparameters based on the marginal likelihood by using a well‐known expectation‐maximization algorithm and propose the EUB estimators of area means. For risk evaluation of the EUB estimator, we derive a second‐order unbiased estimator of a conditional mean squared error by using some techniques of numerical calculation. Through simulation studies and real data applications, we evaluate a performance of the EUB estimator and compare it with the usual empirical Bayes estimator.