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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...
Testing the statistical significance of an ultra-high-dimensional naïve Bayes classfier
Binary Predictor Hypothesis Testing Na?ve Bayes Supervised Learning
2016/1/25
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...
Tests atternative to higher criticism for high dimensional means under sparsity and column-wise dependence
Large deviation Large p, small n Optimal detection boundary Sparse signal Thresholding Weak dependence
2016/1/20
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...
Testing the statistical significance of an ultra-high-dimensional naïve Bayes classfier
Binary Predictor Hypothesis Testing Na?ve Bayes Supervised Learning
2016/1/20
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...
Estimating Network Degree Distributions Under Sampling: An Inverse Problem, with Applications to Monitoring Social Media Networks
Estimating Network Degree Distributions Sampling An Inverse Problem Applications Monitoring Social Media Networks
2013/6/14
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...
Spatial Depth-Based Classification for Functional Data
Functional depths Functional outliers Spatial functional depth Supervised func-tional classification
2013/6/14
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...
Large-Margin Metric Learning for Partitioning Problems
Large-Margin Metric Learning Partitioning Problems
2013/4/28
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...
Distributed Detection/Isolation Procedures for Quickest Event Detection in Large Extent Wireless Sensor Networks
Disorder problem distributed quickest change detection detection with distance dependent sensing fusion of CUSUMs multi–hypothesis change detection
2011/6/20
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...
Robust approachability and regret minimization in games with partial monitoring
Robust approachability regret games partial monitoring
2011/6/20
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...
On the Limits of Sequential Testing in High Dimensions
On the Limits of Sequential Testing High Dimensions
2011/6/21
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...
Anatomy of a Bit: Information in a Time Series Observation
entropy total correlation multivariate mutual information binding information en-tropy rate predictive information rate
2011/6/21
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...
Exact recording of Metropolis-Hastings-class Monte Carlo simulations using one bit per sample
Markov chain Monte Carlo Metropolis-Hastings information theory data representation
2011/6/21
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...
Homogeneity tests for Michaelis-Menten curves with application to fluorescence resonance energy transfer data
Homogeneity Michaelis-Menten curves fluorescence resonance energy transfer data
2011/6/21
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...
On the arrangement of cells in planar STIT and Poisson line tessellations
Mark-correlation function neighbourhood of typical cell pair-correlation function Poisson line tessellation random tessellation spatial statistics STIT tessellation stochastic geometry
2011/6/21
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...