On the use of quasi-likelihood for estimation in hidden-Markov random fields

This paper illustrates the use of quasi-likelihood methods of inference for hidden Markov random fields. These are simple to use and can be employed under circumstances where only the model form and its covariance structure are specified. In particular they can be used to derive the same estimating equations as the E-M algorithm or change of measure methods, which make full distributional assumptions.     

影视产业融资机制分析研究——以加拿大影视产业资金保证体系为例

中央提出文化强国的发展战略,无疑为文化产业的全面推进创造了发展机遇。就影视产业的发展来看,虽然这些年出了不少佳作,进行了有益的尝试,但一些瓶颈问题仍然困扰着我们。他山之石,可以攻玉,别人的经验可以让我们少走弯路,文章正是以此为出发点,提供出一个借鉴的视点。     

社会主义法治理念在检察工作中的深化与拓展——以检察文化建设为视角

社会主义法治理念是检察文化建设的根本指针,检察文化是社会主义法治理念的有效载体,两者互为依存,相互促进。社会主义法治理念在检察工作中深化与拓展的最终归宿是:符合社会主义法治理念核心要求的检察文化的形成。社会主义法治理念在检察工作中深化与拓展的基本路径是通过检察文化建设实现司法理念从宏观层面向微观层面的转化,即打击犯罪与保障人权相统一、程序正义与实体正义相统一、协作与监督相统一、法律效果与社会效果相统一、案件数量与案件质量相统一。     

城市历史建筑保护对策研究——以粤港为例

随着经济和商业社会的发展,城市开发建设不同程度地蚕食历史建筑,破坏历史街区的整体风貌。历史建筑是人类发展痕迹的见证,一定程度上反映着地域文化。保护历史建筑也是保护地域文化。粤港政府在历史建筑保护工作方面积累了不少经验,通过分析粤港两地历史建筑保护措施,提出对城市历史建筑保护与利用的对策建议。     

量子的实在性

物理学概念基础的变革往往是人类思维方式变革的前兆,量子概念就是架起从经典物理学通往量子力学的概念之一,也是科学哲学实在论和反实在论两大阵营对峙的概念基点。本文追溯了量子概念出现的历史画面,指出时量子概念引发的两种关于量子与实在之间关系的理解,并从语境方法论的教义对量子概念赋予其实在性。     

略谈新形势下高校青年志愿者服务工作

本文分析当前大学生青年志愿服务工作面临的机遇和挑战,并提出建设高校青年志愿服务工作的应对措施。     

Posterior Analysis for Normalized Random Measures with Independent Increments

Abstract.  One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which generalize the Dirichlet process. In this paper, we provide a comprehensive Bayesian non-parametric analysis of random probabilities which are obtained by normalizing random measures with independent increments (NRMI). Special cases of these priors have already shown to be useful for statistical applications such as mixture models and species sampling problems. However, in order to fully exploit these priors, the derivation of the posterior distribution of NRMIs is crucial: here we achieve this goal and, indeed, provide explicit and tractable expressions suitable for practical implementation. The posterior distribution of an NRMI turns out to be a mixture with respect to the distribution of a specific latent variable. The analysis is completed by the derivation of the corresponding predictive distributions and by a thorough investigation of the marginal structure. These results allow to derive a generalized Blackwell–MacQueen sampling scheme, which is then adapted to cover also mixture models driven by general NRMIs.     

An Examination of the Dual Model of Perfectionism and Adolescent Athlete Burnout: A Short-Term Longitudinal Research

The dual model of perfectionism (Slade and Owens, Behav Modificat 22(3):372–390, 1998) is adopted to examine the influence of adaptive and maladaptive perfectionism on adolescent athlete burnout in Taiwan. Participants were 188 high school adolescent student-athletes (M = 16.48, SD = .59). They were administered the Multidimensional Inventory of Perfectionism in Sport (Stoeber et al., Pers Individ Dif 43(1):131–141, 2007) and the Chinese Athlete Burnout Questionnaire (ABQ) (Lu et al., Phys Educ J 39(3):83–94, 2006). A field longitudinal design was used. In cross-sectional analyses, hierarchical multiple regressions indicated that adaptive perfectionism negatively predicted athlete burnout while maladaptive perfectionism had an inverse relationship with burnout. However, after controlling for the initial scores of burnout, neither adaptive nor maladaptive perfectionism significantly predicted athlete burnout after a three month interval. Possible mechanisms of this relation, limitations, and practical implications are discussed.     

实施系统工程，实现高校思想政治工作的创新

新时期的高校思想政治工作更加复杂化,任务更加艰巨,这就要求我们因事而化、因时而进、因势而新,不断研究新情况,探索新办法,不断开创高校思想政治工作新局面。总结了信电学院的做法,实施系统工程,打组合拳,为高校思想政治工作提供了新的思路。     

Modified genetic algorithm-based clustering for probability density functions

This article modifies two internal validity measures and applies them to evaluate the quality of clustering for probability density functions (pdfs). Based on these measures, we propose a new modified genetic algorithm called GA-CDF to establish the suitable clusters for pdfs. The proposed algorithm is tested by four numerical examples including two synthetic data sets and two real data sets. These examples illustrate the superiority of proposed algorithm over some existing algorithms in evaluating the internal or external validity measures. It demonstrates the feasibility and applicability of the GA-CDF for practical problems in data mining.