“圣泉第一”说东汤

山是眉峰聚,水是眼波横。是山化育了丹东的峥嵘大气,是水涵养了丹东的隽永秀美。如果单单说起水,丹东,除了有海的浩瀚、湖的深邃、江的灵动、河的洒脱之外,更有泉的汹闰,泉的上善。     

Estimation and inference for generalized semi-varying coefficient models

This paper is concerned with the estimation and inference in generalized semi-varying coefficient models. An orthogonal projection local quasi-likelihood estimation is investigated, which can easily be used to estimate the model parametric and nonparametric parts. Then an empirical likelihood logarithmic approach to construct the confidence regions/intervals of the nonparametric parts is developed. Under some mild conditions, the asymptotic properties of the resulting estimators are studied explicitly, respectively. Some simulation studies are carried out to examine the finite sample performance of the proposed methods. Finally, the methodologies are illustrated by a real data set.     

Feasible algorithm for linear mixed model for massive data

This article studies computation problem in the context of estimating parameters of linear mixed model for massive data. Our algorithms combine the factored spectrally transformed linear mixed model method with a sequential singular value decomposition calculation algorithm. This combination solves the operation limitation of the method and also makes this algorithm feasible to big dataset, especially when the data has a tall and thin design matrix. Our simulation studies show that our algorithms make the calculation of linear mixed model feasible for massive data on ordinary desktop and have same estimating accuracy with the method based on the whole data.     

Quickly variable selection for varying coefficient models with missing response at random

This paper focuses on the variable selections for a varying coefficient models with missing response at random. A procedure is presented by basis function approximations with smooth-threshold estimating equations. Furthermore, the proposed method selects significant variables and estimates coefficients simultaneously avoiding the problem of solving a convex optimization, which reduced the burden of computation. Compared to existing equation based approaches, our procedure is more efficient and quick. With proper choices the regularization parameter, the resulting estimates perform an oracle property. A cross-validation for tuning parameter selection is also proposed, a numerical study confirms the performance of the proposed method.     

Comparisons of several Pareto distributions based on record values

In order to avoid wrong conclusions in any further analysis, it is of importance to conduct a formal comparison for characteristic quantities of the distributions. These characteristic quantities we are familiar with include mean, quantity and reliability function, and so on. In this paper, we consider two tests aiming at the comparisons for function of parameters in Pareto distribution based on record values. They are generalized p-value-based test and parametric bootstrap-based test, respectively. The resulting procedures are easy to compute and are applicable to small samples. A simulation study is conducted to investigate and compare the performance of the proposed tests. A phenomenon we note is that generalized p-value-based test almost uniformly outperforms the parametric bootstrap-based test.     

住房价格、土地价格与地方政府行为

本文基于中国35个大中城市2005至2015年的面板数据,通过构建具有“空间依赖”性质的房价地价空间面板联立方程模型,深入研究房价与地价关系、地方政府行为对房价和地价的作用机制以及城际间的相互作用。研究表明,临近城市间的房价相互“模仿”并一同推动地价上涨,房价对地价的影响呈现“模仿促进”的作用特征;各城市通过尽可能抬高本地地价来拉大与临近城市地价水平的差距,进而推高房价,实现“以地生财”。此外,研究还证实地方政府通过“价格途径”和“政策途径”均能对房价进行有效调控,且“价格途径”具有一定的传染性;而“数量途径”和“结构途径”作为地方政府控制地价的有效手段,具有较强的溢出效应。     

基于多源数据融合的个人信用评分研究

随着信息技术的发展,数据来源越来越多,一方面可以更加精准、科学地刻画个人信用状况,但另一方面,由于数据来源多、结构复杂等问题,对传统的征信技术带来了挑战。本文提出了基于多源数据融合的个人信用模型,可以同时对多个数据集进行建模和变量选择,同时考虑了数据集间的相似性和异质性。通过模拟实验发现,本文所提出的整合模型在变量选择和分类效果方面都具有明显的优势。最后,将整合模型应用于城市和农村两个数据集的个人信用评分中。     

Nonparametric estimation of the multivariate survivor function: the multivariate Kaplan–Meier estimator

The Dabrowska (Ann Stat 16:1475–1489, 1988) product integral representation of the multivariate survivor function is extended, leading to a nonparametric survivor function estimator for an arbitrary number of failure time variates that has a simple recursive formula for its calculation. Empirical process methods are used to sketch proofs for this estimator’s strong consistency and weak convergence properties. Summary measures of pairwise and higher-order dependencies are also defined and nonparametrically estimated. Simulation evaluation is given for the special case of three failure time variates.     

论我国城乡职业教育资源的优化配置

城乡统筹,实现职业教育资源的优化配置,其重大意义在于:发挥了城市对乡村的辐射带动作用,找到了城乡结合、院校协作、资源共享的最佳契合点,也使多渠道转移农民就业变为现实。鉴于我国职业教育经费投入重城轻乡、专业设置重工轻农、院校布局重东部轻西部的实际,实现职教资源优化,应秉持城乡一体化、资源效能最优化和社会效益最大化的原则。具体举措为:统一领导,发挥政策的引领、规范作用;统一规划,构建我国东部支援西部、城市支援乡村的职教资源优化配置网络;创新思维,多渠道筹集财力资源;创造条件,鼓励双师型教师、优秀毕业生到贫困地区任教;精成援助,校际之间实现软硬件资源整合共享。