Results 11 to 20 of about 148,439 (334)
On the Asymptotic Efficiency of GMM [PDF]
Econometric Theory, 2013 This paper derives conditions under which the generalized method of moments (GMM) estimator is as efficient as the maximum likelihood estimator (MLE). The data are supposed to be drawn from a parametric family and to be stationary Markov.
Jean-Pierre Florens, Marine Carrasco
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GMM with Weak Identification [PDF]
Econometrica, 2000 Summary: This paper develops asymptotic distribution theory for generalized method of moments (GMM) estimators and test statistics when some or all of the parameters are weakly identified. General results are obtained and are specialized to two important cases: linear instrumental variables regression and Euler equations estimation of the CCAPM ...
Stock, James H., Wright, Jonathan H.
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Gaussian Multipole Model (GMM) [PDF]
Journal of Chemical Theory and Computation, 2009 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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Testing normality: a GMM approach [PDF]
Journal of Econometrics, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bontemps, Christian, Meddahi, Nour
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SAR Image Segmentation with GMMs [PDF]
International Conference on Radar Systems (Radar 2017), 2017 This paper proposes a new approach for Synthetic Aperture Radar (SAR) image segmentation. Segmenting SAR images can be challenging because of the blurry edges and the high speckle. The segmentation proposed is based on a machine learning technique.
Belloni, C. +3 more
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Two-Path GMM-ResNet and GMM-SENet for ASV Spoofing Detection
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 The automatic speaker verification system is sometimes vulnerable to various spoofing attacks. The 2-class Gaussian Mixture Model classifier for genuine and spoofed speech is usually used as the baseline for spoofing detection. However, the GMM classifier does not separately consider the scores of feature frames on each Gaussian component. In addition,
Lei, Zhenchun +4 more
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Impact of Innovations on Future Energy Supply – Chemical Enhanced Oil Recovery (CEOR)
CHIMIA, 2013 The International Energy Agency (IEA) expects an increase of global energy demand by one-third during next 20 years together with a change in the global energy mix. A key-influencing factor is a strong expected increase in oil and gas production
Christian Bittner
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Thermophysical characterization of earth blocks stabilized by cement, sawdust and lime
Journal of Building Materials and Structures, 2014 Several buildings throughout the world are built with blocks of compressed and stabilized ground. These blocks do not commonly have the same thermal properties necessary for their use.
Sylvere Azakine Sindanne +7 more
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Examining the differential impact of monetary policy in India: a policy simulation approach [PDF]
Journal of Economics Finance and Administrative Science, 2020 Purpose – Though an accumulating body of study has analysed monetary policy transmission in India, there are few studies examining the differential impact of monetary policy action.
Sajad Ahmad Bhat +2 more
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Um Tutorial sobre o Método Generalizado dos Momentos (GMM) em Finanças
RAC: Revista de Administração Contemporânea, 2022 Contexto: problemas empíricos em que o pesquisador se depara com um modelo que seja parcialmente especificado. Nestes casos, o método GMM é a alternativa natural para estimação dos parâmetros de interesse. Objetivo: o propósito deste artigo é oferecer um
Alan de Genaro, Paula Astorino
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