Results 11 to 20 of about 143,775 (287)
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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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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The Effect of Educational Inequality on Employment in Iran's Provinces [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2018 One of the most effective ways of realizing social equity is to provide equal opportunities for individuals to access education and to achieve educational equity. An important aspect of educational equity appears in the labor market and by the end of the
zahra Karimi Moughari +2 more
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GMM Estimation with Noncausal Instruments [PDF]
SSRN Electronic Journal, 2009 Lagged variables are often used as instruments when the generalized method of moments (GMM) is applied to time series data. We show that if these variables follow noncausal autoregressive processes, their lags are not valid instruments and the GMM estimator is inconsistent.
Lanne Markku, Saikkonen Pentti
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CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement [PDF]
IEEE Access, 2021 Impressive progress has been recently witnessed on deep unsupervised clustering and feature disentanglement. In this paper, we propose a novel method on top of one recent architecture with a novel explanation of Gaussian mixture model (GMM) membership, accompanied by a GMM loss to enhance the clustering.
Chunzhi Gu +3 more
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