Local asymptotic normality for long-memory process with strong mixing noises

Abstract

We will establish the local asymptotic normality (LAN) for fractional autoregressive long memory model in the case of strong mixing noises. This opens the way in future work to construct an adaptive estimator and construct optimal tests for the parameters. To check the feasibility and validity of our theoretical results a simulations study is considered.     

Bayesian Classifiers Applied to the Tennessee Eastman Process

Fault diagnosis includes the main task of classification. Bayesian networks (BNs) present several advantages in the classification task, and previous works have suggested their use as classifiers. Because a classifier is often only one part of a larger decision process, this article proposes, for industrial process diagnosis, the use of a Bayesian method called dynamic Markov blanket classifier that has as its main goal the induction of accurate Bayesian classifiers having dependable probability estimates and revealing actual relationships among the most relevant variables. In addition, a new method, named variable ordering multiple offspring sampling capable of inducing a BN to be used as a classifier, is presented. The performance of these methods is assessed on the data of a benchmark problem known as the Tennessee Eastman process. The obtained results are compared with naive Bayes and tree augmented network classifiers, and confirm that both proposed algorithms can provide good classification accuracies as well as knowledge about relevant variables.     

广告语篇连贯形成的动态模式分析

指出作为一种特殊的交际形式,广告语篇具有隐含性特点,因此,其连贯也呈现出鲜明的特征,即其连贯是隐性的;广告语篇连贯的形成过程是一个语言使用者不断建立心理空间的动态过程。     

程序正义理念下的死刑复核问题探析

受我国传统刑事诉讼价值取向的影响,现行死刑复核程序在实践运行中一直存在着很多问题,大大影响到死刑复核程序功能的实现。死刑核准权统一收归最高人民法院行使,既让我们在死刑复核问题上看到了希望,又给我们提出了新的研究课题。虽然近期最高人民法院及相关部门颁布了一系列指导死刑复核程序运作的相关规定,但从实际操作效果来看,仍有一些问题需要进一步明确。     

中华人民共和国民族互动过程述论

中华人民共和国成立之后,在中国共产党的领导下,在人民当家作主的新平台上,经过新一轮的民族互动,在马克思主义民族理论的基础上,中国各民族实现了现代意义的民族团结。     

Semiparametric regression methods for temporal processes subject to multiple sources of censoring

Process regression methodology is underdeveloped relative to the frequency with which pertinent data arise. In this article, the response-190 is a binary indicator process representing the joint event of being alive and remaining in a specific state. The process is indexed by time (e.g., time since diagnosis) and observed continuously. Data of this sort occur frequently in the study of chronic disease. A general area of application involves a recurrent event with non-negligible duration (e.g., hospitalization and associated length of hospital stay) and subject to a terminating event (e.g., death). We propose a semiparametric multiplicative model for the process version of the probability of being alive and in the (transient) state of interest. Under the proposed methods, the regression parameter is estimated through a procedure that does not require estimating the baseline probability. Unlike the majority of process regression methods, the proposed methods accommodate multiple sources of censoring. In particular, we derive a computationally convenient variant of inverse probability of censoring weighting based on the additive hazards model. We show that the regression parameter estimator is asymptotically normal, and that the baseline probability function estimator converges to a Gaussian process. Simulations demonstrate that our estimators have good finite sample performance. We apply our method to national end-stage liver disease data. The Canadian Journal of Statistics 48: 222–237; 2020 © 2019 Statistical Society of Canada     

Risk aggregation with dependence and overdispersion based on the compound Poisson INAR(1) process

Abstract

This paper considers an extension of the classical discrete time risk model for which the claim numbers are assumed to be temporal dependence and overdispersion. The risk model proposed is based on the first-order integer-valued autoregressive (INAR(1)) process with discrete compound Poisson distributed innovations. The explicit expression for the moment generating function of the discounted aggregate claim amount is derived. Some numerical examples are provided to illustrate the impacts of dependence and overdispersion on related quantities such as the stop-loss premium, the value at risk and the tail value at risk.     

基于Agent的情感劝说的决策过程及模型研究

Agent具有情感后进行的劝说决策会更加理性,而现有研究还不够全面深入。针对此问题,首先结合形式逻辑理论,定义了基于Agent的情感劝说及其决策过程,并将基于Agent的情感劝说的决策过程划分为评价情感劝说行为、更新情感劝说状态、调整情感劝说目标、产生情感劝说行为四个阶段;其次针对这四个阶段,结合OCC情感模型和PAD心情模型,运用多属性效用理论,引入情感淡化因子和情感评价因子,定义了Agent情感触发函数,建立了八种Agent基本情感与劝说目标的映射关系,将Agent的情感劝说行为分为奖励型、申辩型、威胁型和反辩型四类,分别构建了相应的决策模型,从而构成了更加完整和合理的基于Agent的情感劝说的决策过程模型;最后通过算例证明了模型的合理性和有效性。     

中日两国人名、称谓文化考

姓名是个人与社会联系的纽带,是个人在社会上存在的一种证明。称谓是以本人为轴心确定亲属以及非亲属与本人关系的标志。无论是在中国还是在日本,姓名和称谓对于人们来说都有着非常重要的意义。但是,由于两国的历史文化以及价值取向不同,导致了两国人民在对姓名及称谓的认知不尽相同。中国古代在名字的使用上有避讳的制度。在言谈和书写时,遇到君父长上的名字一律要回避。取名时也不能取他们的名字中有的或同音的字。这一习俗在亲属称谓以及社会称谓习俗上也留有烙印。从文化对比的角度,以人名的避讳为切入口,分析中日两国的姓名及称谓的特征和差异以及所产生的原因。这一研究有助于我们对中日两国的姓名及称谓有一个更加系统的认识,对中日两国的社会、传统文化有更加深入的了解。     

政策过程中的群众路线研究

群众路线将党的组织与政策过程的合理性与合法性建立在党群、干部动态互动关系之中,由此形成了丰富的政策话语逻辑。在阶级斗争话语占主导的时期,群众运动作为一种主要的治国形式,在塑造政策过程中具有重要影响。在政策过程中,除了官僚体系网络,还存在基于复杂的干群互动、政治协商、群众参与所形成的动员协商网络。干部在政策执行过程中受群众路线的约束主要体现在结合执行工作自身特点形成有效的群众工作机制、立场与作风。