心理环境论

结合我国改革开放营造的新的心理环境的现实 ,从心理力的基点出发 ,深入地论述了社会文化与主体心力的关系 ,揭示了心理环境的内在机制 ;较全面地剖析了心理环境这一极其复杂的心理构成物的诸种要素 ,以及由它们所诱发的种种心力对主体心理行为产生的巨大影响     

Is There a Curse of Dimensionality for Contraction Fixed Points in the Worst Case?

This paper analyzes the complexity of the contraction fixed point problem: compute an ε‐approximation to the fixed point V*Γ(V*) of a contraction mapping Γ that maps a Banach space B_d of continuous functions of d variables into itself. We focus on quasi linear contractions where Γ is a nonlinear functional of a finite number of conditional expectation operators. This class includes contractive Fredholm integral equations that arise in asset pricing applications and the contractive Bellman equation from dynamic programming. In the absence of further restrictions on the domain of Γ, the quasi linear fixed point problem is subject to the curse of dimensionality, i.e., in the worst case the minimal number of function evaluations and arithmetic operations required to compute an ε‐approximation to a fixed point V*∈B_d increases exponentially in d. We show that the curse of dimensionality disappears if the domain of Γ has additional special structure. We identify a particular type of special structure for which the problem is strongly tractable even in the worst case, i.e., the number of function evaluations and arithmetic operations needed to compute an ε‐approximation of V* is bounded by Cε^−p where C and p are constants independent of d. We present examples of economic problems that have this type of special structure including a class of rational expectations asset pricing problems for which the optimal exponent p1 is nearly achieved.     

Choosing Priors for Constrained Analysis of Variance: Methods Based on Training Data

Abstract. This article combines the best of both objective and subjective Bayesian inference in specifying priors for inequality and equality constrained analysis of variance models. Objectivity can be found in the use of training data to specify a prior distribution, subjectivity can be found in restrictions on the prior to formulate models. The aim of this article is to find the best model in a set of models specified using inequality and equality constraints on the model parameters. For the evaluation of the models an encompassing prior approach is used. The advantage of this approach is that only a prior for the unconstrained encompassing model needs to be specified. The priors for all constrained models can be derived from this encompassing prior. Different choices for this encompassing prior will be considered and evaluated.     

中国证券市场泡沫测度及形成机理研究

证券市场上的资产价格泡沫一直是理论界研究的热点问题。本文以中国A股市场上市公司每股收益作为股市内在价值,从波动性角度提出用泡沫测度方法来测度中国证券市场的股市泡沫程度,以此实证检验并分析中国股市从1996年末至2008年末各波动周期股市泡沫的波动性特征和泡沫程度,进而运用信息反馈和博弈理论探讨股市泡沫的形成机理。     

从“短期局部”到“长远整体”：环境伦理学进展

中外生态哲学界关于人类中心范式进行了多范围、多方位、多维度的审视与研究,并由此形成对其环境伦理解读范式复杂的格局。对此给予系统梳理与全面考察,旨在阐释其合理之处并揭示其缺陷,全面深入认识并准确把握人类中心主义。     

英语动力情态语义与议论语篇逻辑生成

英语情态词语是必须把握但却最不容易把握的词汇语法项目之一。系统功能语言学情态意义更多是对句子层面人际功能的讨论,把情态语义被看成语篇主观化与主观性态度的标记,没有突出动力情态语义逻辑生成语篇的客观统一性。英语动力情态语法语义认知努力的客观性取向,在词汇和句法层面的表现很大程度上是虚化和弱化的。情态语义在语篇层次客观化和客观性的解释,可以实现和还原实化和强化的情态语义本身。加强议论语篇语法和议论文本模式研究,可以丰富英语议论语篇生成理论。      

Significance test of clustering under high dimensional setting with applications to cancer data

For high dimensional data, the SigClust is developed for testing the significance of clustering. The cluster index (CI) for SigClust is conducted by the ratio of the within-cluster and total sum of squares. But its empirical size is too conservative to be over controlled. By removing the cumbrous terms in the CI, an improved index (BCI) is proposed in this paper. The coefficient of variation of the BCI can be significantly reduced, implying that the new index BCI is stable. Moreover, the new significance test (NewSig) maintains the size, meanwhile, provides a greater power. Simulation experiments and two real cancer data examples are analysed for illustrating the performance of the new methodology.     

Cross‐Cultural Comparison of the Effects of Optimism,Intrinsic Motivation,and Family Relations on Vocational Identity

This study explored the effects of optimism, intrinsic motivation, and family relations on vocational identity in college students in the United States and South Korea. The results yielded support for the hypothesized multivariate model. Across both cultures, optimism was an important contributing factor to vocational identity, and intrinsic motivation partially mediated the link from optimism to vocational identity. In addition, family relations moderated the mediation effect of intrinsic motivation with American students but not Korean students. With Korean students, family relations moderated the direct link from optimism to vocational identity. These results have significant implications for counseling to promote vocational identity development for diverse college students.     

Intrinsically Dynamic Multistate Models

Multistate life table models, which follow persons through more than one living state, have found increasing use in demographic analyses. Multistate stable populations, however, are infrequently used because the constant rate assumption is quite strong and such populations can take centuries to approach stability. Dynamic models, that is models where the rates can change over time, are examined to derive a new solution for the size and composition of a multistate population in terms of the sequence of underlying population projection matrices (PPMs). Constraints on the subordinate eigenvalues and the subordinate eigenvectors of the time-varying PPMs produce a model population that grows according to the dominant eigenvalues of each time-specific PPM and has a state composition that depends only on the most recent PPM. The two living state model is examined in detail, relationships between the PPM elements and the size and composition of the model are explored, and two illustrative applications of the model are presented.