نتایج جستجو برای: gmm پویا

تعداد نتایج: 12511  

Journal: :Journal of Applied Sciences 2015

Journal: :SSRN Electronic Journal 2003

Journal: :International Journal of Computer and Communication Engineering 2014

Journal: :Journal of Applied Econometrics 2011

ژورنال: اقتصاد مقداری 2018

در این تحقیق به بررسی اثر نامتقارن نااطمینانی قیمت نفت بر رشد اقتصادی،با استفاده از روش گشتاور تعمیم یافته (GMM) در طی دوره زمانی 2015-1961 در گروه کشورهای صادرکننده نفت و گروه کشورهای واردکننده نفت پرداخته شده است. به این منظور، ابتدا شاخص نااطمینانی ناشی از نوسانات قیمت نفت با استفاده از الگوی واریانس ناهمسانی شرطی خودرگرسیون تعمیم یافته نمایی EGARCH)) برآورده شده است. یافته های تحقیق نشان می...

Journal: :Applied and environmental microbiology 2001
D C Glandorf P Verheggen T Jansen J W Jorritsma E Smit P Leeflang K Wernars L S Thomashow E Laureijs J E Thomas-Oates P A Bakker L C van Loon

We released genetically modified Pseudomonas putida WCS358r into the rhizospheres of wheat plants. The two genetically modified derivatives, genetically modified microorganism (GMM) 2 and GMM 8, carried the phz biosynthetic gene locus of strain P. fluorescens 2-79 and constitutively produced the antifungal compound phenazine-1-carboxylic acid (PCA). In the springs of 1997 and 1998 we sowed whea...

2007
DONALD W. K. ANDREWS

To obtain consistency and asymptotic normality, a generalized method of moments (GMM) estimator typically is defined to be an approximate global minimizer of a GMM criterion function. To compute such an estimator, however, can be problematic because of the difficulty of global optimization. In consequence, practitioners usually ignore the problem and take the GMM estimator to be the result of a...

2009
Yossi Bar-Yosef Yuval Bistritz

Most techniques for speaker verification today use Gaussian Mixture Models (GMMs) and make the decision by comparing the likelihood of the speaker model to the likelihood of a universal background model (UBM). The paper proposes to replace the UBM by an individual background model (IBM) that is generated for each speaker. The IBM is created using the K-nearest cohort models and the UBM by a sim...

2015
Yan Song Xinhai Hong Bing Jiang Ruilian Cui Ian Vince McLoughlin Li-Rong Dai

This paper presents a unified i-vector framework for language identification (LID) based on deep bottleneck networks (DBN) trained for automatic speech recognition (ASR). The framework covers both front-end feature extraction and back-end modeling stages.The output from different layers of a DBN are exploited to improve the effectiveness of the i-vector representation through incorporating a mi...

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