Bayesian bridge-randomized penalized quantile regression estimation for linear regression model with AP(q) perturbation

Bridge penalized regression has many desirable statistical properties such as unbiasedness, sparseness as well as ‘oracle’. In Bayesian framework, bridge regularized penalty can be implemented based on generalized Gaussian distribution (GGD) prior. In this paper, we incorporate Bayesian bridge-randomized penalty and its adaptive version into the quantile regression (QR) models with autoregressive perturbations to conduct Bayesian penalization estimation. Employing the working likelihood of the asymmetric Laplace distribution (ALD) perturbations, the Bayesian joint hierarchical models are established. Based on the mixture representations of the ALD and generalized Gaussian distribution (GGD) priors of coefficients, the hybrid algorithms based on Gibbs sampler and Metropolis-Hasting sampler are provided to conduct fully Bayesian posterior estimation. Finally, the proposed Bayesian procedures are illustrated by some simulation examples and applied to a real data application of the electricity consumption.     

谈校园音乐剧活动对大学生成长所起的作用

具有多元化特征的音乐剧，对培养创新人才及培养大学生完美的人格有着积极的教育作用．     

基于一种半开式滑槽球副的3-PSP并联平台设计

提出在并联机构中应用一种1移动3转动半开式滑槽球副结构,该运动副将1个移动副和1个球副集成为一个复合的运动副,可以缩短并联机构中支链的尺寸链,有助于提高并联机构精度。基于半开式滑槽球副设计了一种3自由度(3-DOF)PSP三轴并联平台,通过对此机构进行的运动分析和支链的精度分析,导出各个支链的逆解方程,同时根据影响支链运动精度的各个因素给出支链系统误差的线性补偿方程,证明此并联机构具有易于控制、运动精度高的优势。     

Comparison of hazard rates for dependent random variables

In this paper, we define and study a new notion for the comparison of the hazard rates of two random variables taking into account their mutual dependence. Properties, applications and the comparison for a data set are given.     

论中美合资企业管理的跨文化整合

全球化所推动的中外经济合作已成为中国经济发展的重要动力.然而,文化冲突却日益构成中美合资企业发展的重要障碍,如何规避冲突、促进异质文化的融通,就成为跨文化管理的首要任务.文章从中美文化特质出发,分析比较了中美文化的差异,以及由此派生出的不同的管理理念和特点,并在考察了在华中美合资企业跨文化管理案例经验基础上,提出了中美合资企业管理的跨文化整合对策.     

The nested joint clustering via Dirichlet process mixture model

This article focuses on the clustering problem based on Dirichlet process (DP) mixtures. To model both time invariant and temporal patterns, different from other existing clustering methods, the proposed semi-parametric model is flexible in that both the common and unique patterns are taken into account simultaneously. Furthermore, by jointly clustering subjects and the associated variables, the intrinsic complex shared patterns among subjects and among variables are expected to be captured. The number of clusters and cluster assignments are directly inferred with the use of DP. Simulation studies illustrate the effectiveness of the proposed method. An application to wheal size data is discussed with an aim of identifying novel temporal patterns among allergens within subject clusters.     

Bayesian density regression for discrete outcomes

We develop Bayesian models for density regression with emphasis on discrete outcomes. The problem of density regression is approached by considering methods for multivariate density estimation of mixed scale variables, and obtaining conditional densities from the multivariate ones. The approach to multivariate mixed scale outcome density estimation that we describe represents discrete variables, either responses or covariates, as discretised versions of continuous latent variables. We present and compare several models for obtaining these thresholds in the challenging context of count data analysis where the response may be over‐ and/or under‐dispersed in some of the regions of the covariate space. We utilise a nonparametric mixture of multivariate Gaussians to model the directly observed and the latent continuous variables. The paper presents a Markov chain Monte Carlo algorithm for posterior sampling, sufficient conditions for weak consistency, and illustrations on density, mean and quantile regression utilising simulated and real datasets.     

Shared Parenting After Parental Separation: The Views of 12 Experts

ABSTRACT

This article summarizes panel discussions that took place at an international conference on shared parenting (SP) held in May 2017. The panelists were internationally recognized experts on the legal and psychological implications of custody arrangements and parenting plans. Seven broad themes dominated the discussions: whether or not there was persuasive evidence that SP provides real benefits to children whose parents separate; what specific factors make SP beneficial; what symbolic value SP might have; whether there should be a legal presumption in favor of SP, and if so, what factors should make for exceptions; whether high parental conflict, parents’ failure to agree on the parenting plan, or dynamics of parental alienation should preclude SP; and what should happen when a parent wants to relocate away from the other parent.     

宋代相权的兴盛

宋初在权力结构的调整中对相权进行了分割,但考察宋代实际的权力运作,宋代的相权自始至终处于兴盛状态,对相权所采取的几项措施都没有对相权产生实质性的削弱作用。导致这一现象的主要原因在于宋代所奉行的基本国策是“以儒治国”,是君主与士大夫“共治天下”。同时,相权兴盛也是巩固政权的政治需要,亦是当时频繁的军事活动所需。     

片面实行行为定性研究

刑法中的实行行为包括单一行为和复合行为。在单一行为中,片面实行犯既有共同的犯罪故意,又有参与不知情者所实施之罪的共同行为,承认片面实行犯为单方的共同犯罪,是主客观相统一的犯罪构成的当然逻辑结论。在强奸、抢劫等复合行为的场合,片面实行行为即使只参与复合行为的一部分,行为人也要对整个犯罪承担共同责任。将片面实行行为认定为共同犯罪,既有利于完善我国的共同犯罪理论,又可以迅速地恢复社会秩序,实现预防犯罪的社会作用。