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ON THE ASYMPTOTIC EFFICIENCY OF GMM [PDF]

open access: yesEconometric Theory, 2013
The efficiency of the generalized method of moment (GMM) estimator is addressed by using a characterization of its variance as an inner product in a reproducing kernel Hilbert space. We show that the GMM estimator is asymptotically as efficient as the maximum likelihood estimator if and only if the true score belongs to the closure of the linear space ...
Carrasco, Marine, Florens, Jean-Pierre
openaire   +7 more sources

Testing normality: a GMM approach [PDF]

open access: yesJournal of Econometrics, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bontemps, Christian, Meddahi, Nour
openaire   +8 more sources

CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement [PDF]

open access: yesIEEE 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
openaire   +2 more sources

SUPORTE A EXSANGUÍNEO EM RECÉM-NASCIDO PELA AGÊNCIA TRANSFUSIONAL DE FRANCA-SP: RELATO DE CASO

open access: yesHematology, Transfusion and Cell Therapy, 2023
Introdução: O Exsanguíneo transfusão é indicado para tratar hiper bilirrubinemia neonatal nos casos de deficiência G-6PD, defeitos estruturais congênitos da membrana eritrocitária, recurso adjuvante em casos de sepse e principalmente nos casos de ...
GMM Spereta, LCM Silva
doaj   +1 more source

Productivity and Performance: A GMM approach [PDF]

open access: yesOxford Bulletin of Economics and Statistics, 2022
AbstractIn this paper we propose a single‐step generalized method of moments (GMM) approach to estimate a production function with multiple quasi‐fixed and variable inputs as well as productivity and inefficiency. Our approach relies on the system consisting of the production function, the first‐order conditions of expected profit maximization with ...
Mike G. Tsionas, Subal C. Kumbhakar
openaire   +1 more source

Déterminants des dépenses publiques de santé en Afrique subsaharienne

open access: yesRevue Internationale des Économistes de Langue Française, 2021
L'objectif de ce papier est d'analyser les déterminants des dépenses publiques de santé en Afrique subsaharienne. A cet effet, un modèle de panel dynamique a été utilisé pour un échantillon de 32 pays d'Afrique subsaharienne couvrant la période 2009 à ...
Kossi Atsutsè Dziédzom Tsomdzo   +2 more
doaj   +1 more source

DO BARRIERS TO DIGITAL SERVICES TRADE HAMPER ECONOMIC GROWTH? EVIDENCE FROM A CROSSCOUNTRY ANALYSIS

open access: yesBuletin Ekonomi Moneter dan Perbankan, 2023
This study examines the relation between trade barriers on digital services and economic growth for a panel of 44 nations from 2014 to 2020. Using the system generalised method of moments estimator and accounting for other factors, we find that trade ...
Bhushan Praveen Jangam
doaj   +1 more source

GMM with Weak Identification [PDF]

open access: yesEconometrica, 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.
openaire   +2 more sources

Two-Path GMM-ResNet and GMM-SENet for ASV Spoofing Detection

open access: yesICASSP 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,
Zhenchun Lei   +4 more
openaire   +2 more sources

PREDICTIVE CAPABILITIES OF A NARX-BASED FORECASTER USED TO PREDICT THE PV PANEL OUTPUT POWER [PDF]

open access: yesCarpathian Journal of Electrical Engineering, 2020
This paper deals with the predictive capabilities of a NARX-based forecaster used to predict the output power converted with a PV panel in isolated conditions.
Toufik SEBBAGH   +3 more
doaj  

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