Palm Distributions for Log Gaussian Cox Processes

This paper establishes a remarkable result regarding Palm distributions for a log Gaussian Cox process: the reduced Palm distribution for a log Gaussian Cox process is itself a log Gaussian Cox process that only differs from the original log Gaussian Cox process in the intensity function. This new result is used to study functional summaries for log Gaussian Cox processes.     

Tests for Structural Changes in Time Series of Counts

We propose methods for detecting structural changes in time series with discrete‐valued observations. The detector statistics come in familiar L2‐type formulations incorporating the empirical probability generating function. Special emphasis is given to the popular models of integer autoregression and Poisson autoregression. For both models, we study mainly structural changes due to a change in distribution, but we also comment for the classical problem of parameter change. The asymptotic properties of the proposed test statistics are studied under the null hypothesis as well as under alternatives. A Monte Carlo power study on bootstrap versions of the new methods is also included along with a real data example.     

Monotonic change point estimation of generalized linear model-based regression profiles

In this article, a maximum likelihood estimator is derived in the generalized linear model-based regression profiles under monotonic change in Phase II. The performance of the proposed estimator is comprehensively investigated through some special cases, and compared with estimators under step change and drift. The results show that the proposed estimator has better performance in small and medium shifts under different increasing changes. Finally, the applicability of the proposed estimator is illustrated using a real case.     

Likelihood procedure for testing changes in skew normal model with applications to stock returns

The skew normal distribution family is an attractive distribution family due to its mathematical tractability and inclusion of the normal distribution as the special case. It has wide applications in many applied fields such as finance, economics, and medical research. Such a distribution family has been studied extensively since it was introduced by Azzalini in 1985 Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian Journal of Statistics 12:171–178. [Google Scholar] for the first time. Yet, few work has been done on the study of change point problem related to this distribution family. In this article, we propose the likelihood ratio test (LRT) to detect changes in the parameters of the skew normal distribution associated with some asymptotic results of the test statistic. Simulations have been conducted under different scenarios to investigate the performance of the proposed method. Comparisons to some other existing method indicate the comparable power of the method in detecting changes in parameters of the skew normal distribution model. Applications on two real data: Brazilian and Tanzanian stock returns illustrate the detection procedure.     

Fourier–type tests involving martingale difference processes

We develop testing procedures which detect if the observed time series is a martingale difference sequence. Furthermore, tests are developed that detect change–points in the conditional expectation of the series given its past. The test statistics are formulated following the approach of Fourier–type conditional expectations first proposed by Bierens (1982 Bierens, H. J. (1982). Consistent model speci?cation tests. J. Econometr. 20:105–134.[Crossref], [Web of Science ®] , [Google Scholar]) and have the advantage of computational simplicity. The limit behavior of the test statistics is investigated under the null hypothesis as well as under alternatives. Since the asymptotic null distribution contains unknown parameters, a bootstrap procedure is proposed in order to actually perform the test. The performance of the bootstrap version of the test is compared in finite samples with other methods for the same problem. A real–data application is also included.     

简论社会心理学的知识体系

文章通过对多种社会心理学教材的研究,认为社会心理学的基本知识应包括个体社会心理(社会化、自我意识、社会认知、社会动机、社会态度),人际互动(人际沟通、人际关系、合作与竞争、侵犯与利他),社会影响(社会助长、社会惰化、从众与服从)和群体心理(群体规范、群体压力、群体凝聚力、群体首领、群体决策、群体人格)四个方面;认为必须研究和发现这些知识之间的内在联系,从而构建严密的体系;主张以社会化作为社会心理学的逻辑起点。     

“诗意地栖居”：生态女性主义批评视角下的《雪花秘扇》

从生态女性主义批评视角对邝丽莎的小说《雪花秘扇》进行分析与解读。首先对《雪花秘扇》和生态女性主义进行了简单介绍;然后,从女性与自然和谐相处、父权制社会对女性与自然的迫害、女性与自然对父权制社会的解构和邝丽莎和谐生态观与诗意地栖居等四方面进行分析,进一步阐述了作者关于实现男性与女性平等相处,社会与自然和谐发展的“诗意地栖居”的美好境界。     

《麦田里的守望者》中的叙事策略和“反英雄”形象

《麦田里的守望者》是美国小说家塞林格（Jerome David Salinger）发表于1951年的长篇小说,也是他最负盛名的小说之一。本文从视点及叙述者的可靠性问题出发,探讨了《麦田里的守望者》中独特的叙事策略所产生的修辞效果。同时以分析小说中“反英雄”形象的塑造为切入点,展示出资本主义消费型社会对人性的异化和解构,从而引发读者对现代人生存困境的深刻反思。     

一类具有时滞的神经网络的稳定性分析

对具有广泛应用价值的时滞Ｈｏｐｆｉｅｌｄ神经网络系统,建立了系统平衡点存在唯一的充要条件,利用常数交易法并结合不等式分析技巧讨论了神经网络模型的全局指数稳定性,获得了系统的平衡点全局指数稳定的充分条件。