Moderate Deviations for Bayes Posteriors

Let ( X_k ) k be a sequence of i.i.d. random variables taking values in a set , and consider the problem of estimating the law of X₁ in a Bayesian framework. We prove, under mild conditions on the prior, that the sequence of posterior distributions satisfies a moderate deviation principle.     

深水钻孔灌注桩基础施工技术

针对济阳黄河公路大桥钻孔灌注桩桩身长、孔壁易失稳垮塌、单桩混凝土灌注量大等施工难题，通过合理机械选型和控制护壁泥浆配比，取得了良好效果。以4″主墩为例介绍了施工条件及钻孔灌注桩施工技术措施，总结了施工效果。     

大型字书疑难字新考

认知社会语言学是一门新学科,其在国内的理论研究成果较少,根据国外认知社会语言学研究现状,尽量多地收集有关认知社会语言学理论研究的信息和资料,概括了认知社会语言学发展的三个阶段,通过对认知社会语言学的发展及研究范围等角度进行分析,为国内认知社会语言学在研究应用方面增加一些可供交流借鉴的观点和思考。     

家族企业股东异质性与CEO选聘决策

家族企业积极引入并利用非家族资本时,CEO人选对其职业化经营和现代化转型具有重要促进作用。基于2004—2017年中国2065家上市家族企业数据,从家族企业股东异质性的视角考察了其对家族企业CEO人选的影响。研究发现:家族大股东和非家族大股东投票权不对称性与职业经理人担任CEO显著负相关。非家族大股东类型越多,投票权不对称性与职业经理人担任CEO的负相关关系越强,但家族股东数量增加会抵消这种作用。横截面差异检验表明,不同类型非家族大股东对CEO人选具有不同的影响,未发生代际传承、由家族直接创办、审计质量较低的家族企业,投票权不对称性与职业经理人担任CEO之间的负相关关系更强。研究结论表明,家族式的非制度管理可能成为家族企业高质量发展的瓶颈,积极引入非家族股东并保持权力制衡有助于职业经理人的引入,这对于企业最终实现高质量发展意义重大。     

不同主体股权转让问题探讨

在法律实践中,隐名投资作为一种非常规的投资方式,其所引起的纠纷除了涉及隐名股东与名义持股人内部协议履行的问题,亦有隐名股东、名义持股人因公司经营或股权利益分配导致的与公司或第三人之间的纠纷。本文基于最新的《公司法》司法解释三,对隐名股权的转让问题进行分析;同时,股权基于其财产权的属性可作为夫妻之间的共同财产,但法律和司法解释均未对夫妻之间在离婚阶段难以协商一致时如何认定股权归属和收益归属问题进行规定,本文将对若干可能情况下的该问题进行法理上的阐释。     

救赎：寻求民族文化的出路——解读莫里森的《柏油孩子》

高速铁路具有高度集成、高精度的技术特点，运营过程中经受列车质量、速度、密度等多种因素影响，地理位置因素往往是影响铁路设备状态演变的决定性因素。采用网格化管理技术可将空间上连续分布的管理对象划分成较小的单元网格，有利于从空间位置角度研究管理对象状态的变化规律。随着信息系统技术、大数据技术的迅猛发展，基于位置而不是基于专业更符合高速铁路的管理需求，网格化管理技术给高速铁路管理带来了新的视角。     

Precise large deviations for φ-mixing and UND random variables with long-tailed distributions

In this paper, we investigate the precise large deviations for sums of φ-mixing and UND random variables with long-tailed distributions. The asymptotic relations for non random sum and random sum of random variables with long-tailed distributions are obtained.     

Retrospective change detection in categorical time series

The aim of this paper is to propose methods of detecting change in the coefficients of a multinomial logistic regression model for categorical time series offline. The alternatives to the null hypothesis of stationarity can be either the hypothesis that it is not true, or that there is a temporary change in the sequence. We use the efficient score vector of the partial likelihood function. This has several advantages. First, the alternative value of the parameter does not have to be estimated; hence, we have a procedure that has a simple structure with only one parameter estimation using all available observations. This is in contrast with the generalized likelihood ratio-based change point tests. The efficient score vector is used in various ways. As a vector, its components correspond to the different components of the multinomial logistic regression model’s parameter vector. Using its quadratic form a test can be defined, where the presence of a change in any or all parameters is tested for. If there are too many parameters one can test for any subset while treating the rest as nuisance parameters. Our motivating example is a DNA sequence of four categories, and our test result shows that in the published data the distribution of the four categories is not stationary.     

Conditional entropy,entropy density,and strong law of large numbers for generalized controlled tree-indexed Markov chains

In this paper, we first introduces a tree model without degree boundedness restriction namely generalized controlled tree T, which is an extension of some known tree models, such as homogeneous tree model, uniformly bounded degree tree model, controlled tree model, etc. Then some limit properties including strong law of large numbers for generalized controlled tree-indexed non homogeneous Markov chain are obtained. Finally, we establish some entropy density properties, monotonicity of conditional entropy, and entropy properties for generalized controlled tree-indexed Markov chains.     

The almost sure convergence rate of the estimator of optimized certainty equivalent risk measure under α-mixing sequences

Conditional value-at-risk (CVaR) model is a kind of financial risk measure that is extensively supported and accepted by international financial community. Its optimized form can be regarded as an optimized certainty equivalent (OCE) risk measurement. In this paper, we mainly discuss and analyze the strong laws of large numbers and the convergence rate of OCE's estimator under α-mixing sequences. The result shows that the almost sure convergence rate of CVaR estimator is given by the results of OCE estimator. Its convergence rate is inversely proportional to the square root of the sample size under certain conditions. Its effectiveness is verified by simulation experiments for two classical α-mixing sequences.