DCS: A Policy Framework for the Detection of Correlated Data Streams

2019 ◽  
pp. 191-210
Author(s):  
Rakan Alseghayer ◽  
Daniel Petrov ◽  
Panos K. Chrysanthis ◽  
Mohamed Sharaf ◽  
Alexandros Labrinidis
Keyword(s):  
Data Streams ◽  
Correlated Data ◽  
Policy Framework

Combined compression of multiple correlated data streams for online-diagnosis systems

2020 ◽  
Vol 77 ◽  
pp. 103184
Author(s):  
Simon Meckel ◽  
Markus Lohrey ◽  
Seungbum Jo ◽  
Roman Obermaisser ◽  
Simon Plasger
Keyword(s):  
Data Streams ◽  
Correlated Data

Combined Compression of Multiple Correlated Data Streams for Online-Diagnosis Systems

2019 ◽  
Author(s):  
Simon Meckel ◽  
Markus Lohrey ◽  
Seungbum Jo ◽  
Roman Obermaisser ◽  
Simon Plasger
Keyword(s):  
Data Streams ◽  
Correlated Data

PFI OECD - Framework for Strong investment Policy

2015 ◽  
pp. 151-156
Author(s):  
A. Koval
Keyword(s):  
Sustainable Development ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Comprehensive Approach ◽  
Investment Policy ◽  
Policy Framework ◽  
Investment Climate ◽  
Systematic Monitoring ◽  
Investment Tool ◽  
National Investment

The improving investment climate objective requires a comprehensive approach to the regulatory framework enhancement. Policy Framework for Investment (PFI) is a significant OECD’s investment tool which makes possible to identify the key obstacles to the inflow foreign direct investment and to determine the main measures to overcome them. Using PFI by Russian authorities would allow a systematic monitoring of the national investment policy and also take steps to improve the effectiveness of sustainable development promotion regulations.

Towards New Policy Incentives for Fixed Capital Investment and Technological Upgrades in Russia

2011 ◽  
pp. 43-56
Author(s):  
A. Apokin
Keyword(s):  
Economic Policy ◽  
Capital Investment ◽  
Empirical Studies ◽  
Fixed Capital ◽  
Policy Framework ◽  
Private Companies ◽  
Russian Economy ◽  
Technological Modernization ◽  
Fixed Capital Investment ◽  
Policy Incentives

The paper approaches the problem of private fixed capital underinvestment in Russia. The author uses empirical studies of the Russian economy and cases of successful technological modernization to outline several groups of disincentives for private companies to perform fixed capital investment in Russia. To counter these constraints, a certain incentive-based economic policy framework is developed.

Quadratic Discriminant Analysis of Spatially Correlated Data

2001 ◽  
Vol 6 (2) ◽  
pp. 15-28 ◽  
Author(s):  
K. Dučinskas ◽  
J. Šaltytė
Keyword(s):  
Discriminant Function ◽  
Error Rate ◽  
Gaussian Random Field ◽  
Correlated Data ◽  
Covariance Matrices ◽  
Classification Rule ◽  
Spatial Correlations ◽  
Linear Quadratic ◽  
Spatial Correlation Function ◽  
Spatially Correlated

The problem of classification of the realisation of the stationary univariate Gaussian random field into one of two populations with different means and different factorised covariance matrices is considered. In such a case optimal classification rule in the sense of minimum probability of misclassification is associated with non-linear (quadratic) discriminant function. Unknown means and the covariance matrices of the feature vector components are estimated from spatially correlated training samples using the maximum likelihood approach and assuming spatial correlations to be known. Explicit formula of Bayes error rate and the first-order asymptotic expansion of the expected error rate associated with quadratic plug-in discriminant function are presented. A set of numerical calculations for the spherical spatial correlation function is performed and two different spatial sampling designs are compared.

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