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在以管资本为导向的新型国有资本授权经营管理改革背景下,针对双层委托链条中对资本配置权与资产经营权的分层配置,以及围绕国有资本保值增值与产业领域战略性布局目标,将国有资本投运公司区分为政策性、商业性、资本运营三种类型,分别实施上下层分级考核。在此基础之上,设计了国有资本经营效率、结构调整、功能发挥以及配套改革四大考核维度,并基于各个维度提出核心考核指标的设计思路,构建由单层委托代理契约下的考核监督转...
The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional (UHD) setup is not well unders...
We consider two alternative tests to the Higher Criticism test of Donoho and Jin (2004) for high dimensional means under the spar-sity of the non-zero means for sub-Gaussian distributed data with unkn...
The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional(UHD) setup is not well underst...
This paper considers the problem of fitting regression models to historical fleet data with mixed effects, which arises in the context of statistical monitoring of data from a fleet (population) of si...
Networks are a popular tool for representing elements in a system and their interconnectedness. Many observed networks can be viewed as only samples of some true underlying network. Such is frequently...
We enlarge the available number of functional depths by defining two new depth measures for curves. Both depths are based on a spatial approach: the functional spatial depth (FSD), that shows an inter...
In this paper, we consider unsupervised partitioning problems, such as clustering, image segmentation, video segmentation and other change-point detection problems. We focus on partitioning problems b...
We study a problem of distributed detection of an event in a large extent wireless sensor network (WSN), where the event influences the observations of the sensors only in the vicinity of where it oc...
Approachability has become a standard tool in analyzing learning algorithms in the adversarial online learning setup. We develop a variant of approachability for games where there is ambiguity in th...
This paper presents results pertaining to sequential methods for support recovery of sparse signals in noise. Specifically, we show that any sequential measurement procedure fails provided the aver...
Appealing to several multivariate information measures|some familiar, some new here|we ana- lyze the information embedded in discrete-valued stochastic time series. We dissect the uncertainty of a s...
The Metropolis-Hastings (MH) algorithm is the prototype for a class of Markov chain Monte Carlo methods that propose transitions between states and then accept or reject the proposal. These methods g...
Background Resonance energy transfer (RET) methods are in wide use for evaluating protein-protein interactions and protein conformational changes in living cells. Sensitized emission fluorescence r...
It is well known that the distributions of the interiors of the typical cell of a Poisson line tessellation and a STIT tessellation with the same parameters coincide. In this paper, differences in t...

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