朝阳神秘之旅

寻根东北佛源东北佛教文化“祖庭”凤凰山朝阳凤凰山拥有东北最早的佛教寺院,是当之无愧的东北佛教文化的“祖庭”,有中国惟一的塔寺结合的山岳景观。御赐皇封佑顺寺佑顺寺是藏传佛教寺院,佑顺寺的建筑布局呈“盘龙式”,乾隆皇帝两次回盛京祭祖,均在这里驻跸。百年宝寺关帝庙关     

九十年代后中国电影海报设计的风格特征

电影海报除了能够提供电影的信息之外,从设计的角度来说,它还具有很强的装饰性和观赏性,并具有独特的表现形式和艺术设计规律。文章以20世纪90年代以来中国电影海报设计为研究对象,从电影海报的性质和功能入手,对90年代以来中国电影海报设计的风格特征作出简要概括。     

论政治文明的文化选择

文化即人化,它是人类所创造的精神成果和物质成果的总和;文明是文化的结晶,是文化主体对人类文化中野蛮性、愚昧性不断扬弃的结果,是人类有目的、有选择地过滤人类文化、形成合理文化内核的过程。中国当前的政治文明建设,需要走出“精华”和“糟粕”的简单二分的误区,用外来文化中国化、传统文化现代化,来开辟中国文化发展之路。弱化暴力色彩,强化仁政效应,构建中国特色的政治文明。     

Bayesian nonparametric modelling of the link function in the single-index model using a Bernstein–Dirichlet process prior

This paper proposes the use of the Bernstein–Dirichlet process prior for a new nonparametric approach to estimating the link function in the single-index model (SIM). The Bernstein–Dirichlet process prior has so far mainly been used for nonparametric density estimation. Here we modify this approach to allow for an approximation of the unknown link function. Instead of the usual Gaussian distribution, the error term is assumed to be asymmetric Laplace distributed which increases the flexibility and robustness of the SIM. To automatically identify truly active predictors, spike-and-slab priors are used for Bayesian variable selection. Posterior computations are performed via a Metropolis-Hastings-within-Gibbs sampler using a truncation-based algorithm for stick-breaking priors. We compare the efficiency of the proposed approach with well-established techniques in an extensive simulation study and illustrate its practical performance by an application to nonparametric modelling of the power consumption in a sewage treatment plant.     

A misspecification test for the higher order co-moments of the factor model

The traditional estimation of higher order co-moments of non-normal random variables by the sample analog of the expectation faces a curse of dimensionality, as the number of parameters increases steeply when the dimension increases. Imposing a factor structure on the process solves this problem; however, it leads to the challenging task of selecting an appropriate factor model. This paper contributes by proposing a test that exploits the following feature: when the factor model is correctly specified, the higher order co-moments of the unexplained return variation are sparse. It recommends a general to specific approach for selecting the factor model by choosing the most parsimonious specification for which the sparsity assumption is satisfied. This approach uses a Wald or Gumbel test statistic for testing the joint statistical significance of the co-moments that are zero when the factor model is correctly specified. The asymptotic distribution of the test is derived. An extensive simulation study confirms the good finite sample properties of the approach. This paper illustrates the practical usefulness of factor selection on daily returns of random subsets of S&P 100 constituents.     

Lower bound of average centered L2-discrepancy for U-type designs

Uniform designs are widely used in various scientific investigations and industrial applications. By considering all possible level permutation of the factors, a connection between average centered L₂-discrepancy and generalized wordlength pattern for asymmetrical fractional factorial designs is derived. Moreover, we present new lower bounds to the average centered L₂-discrepancy for symmetrical and asymmetrical U-type designs. For illustration of the theoretical results, the lower bounds for symmetrical and asymmetrical U-type designs are tabulated, and numerical results indicate that our lower bounds behave well and can be recommended for use in practice.     

The laws of large numbers for Pareto-type random variables with infinite means

In this paper, we consider the laws of large numbers for NSD random variables satisfying Pareto-type distributions with infinite means. Based on the Pareto-Zipf distributions, some weak laws of large numbers for weighted sums of NSD random variables are obtained. Meanwhile, we show that a weak law for Pareto-Zipf distributions cannot be extended to a strong law. Furthermore, based on the two tailed Pareto distribution, a strong law of large numbers for weighed NSD random variables is presented. Our results extend the corresponding earlier ones.     

Fast and approximate exhaustive variable selection for generalised linear models with APES

We present APproximated Exhaustive Search (APES), which enables fast and approximated exhaustive variable selection in Generalised Linear Models (GLMs). While exhaustive variable selection remains as the gold standard in many model selection contexts, traditional exhaustive variable selection suffers from computational feasibility issues. More precisely, there is often a high cost associated with computing maximum likelihood estimates (MLE) for all subsets of GLMs. Efficient algorithms for exhaustive searches exist for linear models, most notably the leaps‐and‐bound algorithm and, more recently, the mixed integer optimisation (MIO) algorithm. The APES method learns from observational weights in a generalised linear regression super‐model and reformulates the GLM problem as a linear regression problem. In this way, APES can approximate a true exhaustive search in the original GLM space. Where exhaustive variable selection is not computationally feasible, we propose a best‐subset search, which also closely approximates a true exhaustive search. APES is made available in both as a standalone R package as well as part of the already existing mplot package.     

SIMEX estimation for single-index model with covariate measurement error

AStA Advances in Statistical Analysis - In this paper, we consider the single-index measurement error model with mismeasured covariates in the nonparametric part. To solve the problem, we develop a...     

The UN Global Compact for Safe,Orderly and Regular Migration: Its Impact on Asia

This article focuses on the Global Compact for Safe, Orderly and Regular Migration (GCM), a landmark international document that builds on the momentum of a decade of initiatives at the international level on migration governance, and its impact on Asia from the perspective of South Asia, Southeast Asia, China, and South Korea. While none of these countries voted against the adoption of the GCM, there are significant differences in how individual countries approached the commitments made in the GCM. These perspectives were articulated in a webinar hosted by Metropolis Asia on 20 June 2018 and in governmental statements made at the UN international conference when the GCM was adopted. This article also discusses the challenges confronting the implementation of the GCM. While the Compact resulted from inclusive and intensive negotiations and many compromises, the road towards realizing its goals will be at least as challenging as the road that led to its adoption. In spite of these challenges, the GCM is a ground‐breaking representation of the first multilateral framework for migration governance. Its success rests upon the recognition that addressing the challenges and maximizing the benefits of migration require true international cooperation, renewed commitment and meaningful action on the commitments agreed to.