Results 31 to 40 of about 63,666 (315)
Detecting Lack of Identification in GMM [PDF]
In the standard linear instrumental variables regression model, it must be assumed that the instruments are correlated with the endogenous variables in order to ensure the consistency and asymptotic normality of the usual instrumental variables estimator.
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Gaussian Multipole Model (GMM) [PDF]
An electrostatic model based on charge density is proposed as a model for future force fields. The model is composed of a nucleus and a single Slater-type contracted Gaussian multipole charge density on each atom. The Gaussian multipoles are fit to the electrostatic potential (ESP) calculated at the B3LYP/6-31G* and HF/aug-cc-pVTZ levels of theory and ...
Elking, Dennis +4 more
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Ownership concentration, firm life cycle, and leverage: Evidence from Italian family firms
We examine the impact of ownership concentration, firm life cycle, and family ownership on leverage using a sample of listed Italian firms. The study findings reveal that family businesses in Italy have high ownership concentration and use less debt than
William Mbanyele
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The indirect continuous-GMM estimation [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Deterrent Effect of Good Governance and Corruption Control On Budget Deficit in Developing Economies [PDF]
Extended AbstractIntroductionIn the economic development of countries, important features of good governance and using corruption control are the key factors to gain more public satisfaction and reduce the budget deficit are among the important program ...
Hanieh Mohebikia, Hamid Sepehrdoust
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The Effect of Real Exchange Rate Volatility on Strategic Investment in Iran [PDF]
This study examines the impacts of real exchange rate fluctuations on the companies' strategic investments in Iran. The data of 92 listed companies in Tehran Stock Exchange during the period of 2002-2015areused.
Hamid Reza Horry, Elham Rahimi
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The recently proposed "generalized min-max" (GMM) kernel can be efficiently linearized, with direct applications in large-scale statistical learning and fast near neighbor search. The linearized GMM kernel was extensively compared in with linearized radial basis function (RBF) kernel.
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Testing the Null of Identification in GMM [PDF]
This paper proposes a new test of the null hypothesis that a generalized method of moments model is identified. The test can detect local or global underidentification, and underidentification in some or all directions. The idea of the test is to compare the volume of two confidence sets - one that is robust to lack of identification and one that is ...
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On improvements to CI-based GMM selection [PDF]
Gaussian Mixture Model (GMM) computation is known to be one of the most computation-intensive components in speech decoding. In our previous work, context-independent model based GMM selection (CIGMMS) was found to be an effective way to reduce the cost of GMM computation without significant loss in recognition accuracy.
Arthur Chan +2 more
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Real Time Recognition Of Speakers From Internet Audio Stream
In this paper we present an automatic speaker recognition technique with the use of the Internet radio lossy (encoded) speech signal streams. We show an influence of the audio encoder (e.g., bitrate) on the speaker model quality.
Weychan Radoslaw +3 more
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