Quantile regression for large-scale data via sparse exponential transform method

In recent decades, quantile regression has received much more attention from academics and practitioners. However, most of existing computational algorithms are only effective for small or moderate size problems. They cannot solve quantile regression with large-scale data reliably and efficiently. To this end, we propose a new algorithm to implement quantile regression on large-scale data using the sparse exponential transform (SET) method. This algorithm mainly constructs a well-conditioned basis and a sampling matrix to reduce the number of observations. It then solves a quantile regression problem on this reduced matrix and obtains an approximate solution. Through simulation studies and empirical analysis of a 5% sample of the US 2000 Census data, we demonstrate efficiency of the SET-based algorithm. Numerical results indicate that our new algorithm is effective in terms of computation time and performs well for large-scale quantile regression.     

MSE performance of the weighted average estimators consisting of shrinkage estimators when each individual regression coefficient is estimated

In this paper, we analytically derive the exact formula for the mean squared error (MSE) of two weighted average (WA) estimators for each individual regression coefficient. Further, we execute numerical evaluations to investigate small sample properties of the WA estimators, and compare the MSE performance of the WA estimators with the other shrinkage estimators and the usual OLS estimator. Our numerical results show that (1) the WA estimators have smaller MSE than the other shrinkage estimators and the OLS estimator over a wide region of parameter space; (2) the range where the relative MSE of the WA estimator is smaller than that of the OLS estimator gets narrower as the number of explanatory variables k increases.     

Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion

Lifetime Data Analysis - This work was motivated by observational studies in pregnancy with spontaneous abortion (SAB) as outcome. Clearly some women experience the SAB event but the rest do not....     

How publics’ active and passive communicative behaviors affect their tornado responses: An integration of STOPS and SMCC

During imminent threat crises, such as natural disasters, publics have minutes to decide how to respond after receiving a warning. This study advances understanding of publics’ crisis communicative and noncommunicative behaviors in the context of tornadoes through combining and extending two theories: the social-mediated crisis communication (SMCC) model and the situational theory of problem solving (STOPS). Findings from a survey of Southeast U.S. residents (n = 1,585) indicate that STOPS is internally consistent and accurate at measuring its intended outcomes of communicative action in problem solving. However, the STOPS measures do not have a significant relationship with the desirable outcome for imminent threat crisis communication: individuals following government’s protective action guidance about tornadoes. In comparison, the expanded SMCC model predicts individuals’ self-reported compliance. Finally, variables from the SMCC model and tornado-specific variables were integrated into the STOPS model to explain individuals’ communicative engagement. Implications for theory and public relations practice are discussed.     

全域规划视角应对煤炭资源型城市产业转型的对策研究 ——以平顶山为例

笔者以推动煤炭资源型城市产业转型为目标,以河南省平顶山为例,通过对其产业转型面临的问题及发展潜力进行分析,跳出从产业角度分析产业结构优化的常规思路,提出从全域规划的研究视角寻求新的解决对策。笔者通过研究发现,在经济新常态时代背景和自身发展诉求下,平顶山等煤炭资源型城市要加快产业转型,应从全域空间考虑,加强多规融合,推进全要素城乡融合。从全域规划视角推动煤炭资源型城市产业转型的主要对策包括多规融合多目标协调下明确经济产业发展目标,全要素统筹下推进经济产业发展路径转变,全域空间统筹下采用底线思维明晰产业发展空间,强化产业资源的统筹及特色强化。     

似与不似——论文学作品汉译英过程立场分析的作用

古今中外的作家都会在自己的作品中表达个人的立场与观点。翻译文学作品时,应十分重视原作者的立场观点。而原作者往往通过间接的方法将其立场观点隐含在作品深层,这就给翻译带来困难。汉译英时,汉语中有些文化背景的内容涉及到原作者的立场,译者要认真考虑原文的深层意义,也要考虑译文读者的接受状况。译者务必透过词语表层发掘作品的深层含义,使译文读者得到与原文读者大致相同的感受,达到译文与原文功能对等之目的     

弹性均势与中美印在印度洋上的经略

由于国际格局的变化,印度洋成为世界海权的"心脏",由此中、美、印三国的安全战略在印度洋上聚焦。尽管中美印三国的印度洋战略目标和手段各不相同,但三国在印度洋上的博弈呈现出一种"非敌非盟"的态势,"弹性均势"为此提供了理论解释。印度洋上的"弹性均势"在一段时期内难以打破,并呈现出不平衡态势。印度洋上的力量格局变化也为中国提供了进一步拓展利益的空间。     

基于专利分析的安徽省高校科技创新能力研究

高校的科技创新能力对于安徽创新型省份的建设至关重要。专利是衡量高校科技创新能力的重要指标之一。文章在分析安徽省高校的专利申请总量、专利结构以及专利生命周期系数的基础上,研究安徽省高校的科技创新能力,据此提出促进安徽省高校科技创新能力进一步提升的对策、建议。     

社会语言学视角下的校园流行语研究

校园流行语产生于大学校园这一特定语言社团,其使用频率较高。本文按照内容给校园流行语进行了分类,并讨论了其产生的原因:它是社会快速发展和变化对校园生活的影响,也反映了当代大学生求新求异求简的心理状态,还体现了语言自身变异性的特点。     

我国战略性新兴产业发展研究

随着经济的快速发展,我国政府开始重视战略性新兴产业的发展。目前,我国战略性新兴产业的组织协调性不断加强,产业规模不断扩大,研发投资力度不断加大,政府重视程度不断提高,这为新兴产业的发展营造了良好的社会环境。然而,我国战略性新兴产业也存在一些问题,主要包括产业结构侧重传统行业、技术创新能力差、市场拓展能力弱等,严重阻碍了我国经济的快速发展。针对这些问题,我国政府应该明确自身位置,加大技术创新力度,而战略性新兴产业应该进行商业模式创新,并制定产业发展策略,以此摆脱我国战略性新兴产业发展缓慢的困境。