Low GMM Performance for Small Datasets
System GMM Estimation With A Small Sample
... the performance of the system GMM and other standard estimators when the number of individuals is ...A small N constrains the researcher to limit the number of instruments used for estimation, which ...
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Fiscal-Monetary Policy Interactions and Macroeconomic Performance in a Small Open Economy: A GMM Approach
... 5. Concluding Remarks The study investigates the nature and the effect of fiscal and monetary policies on major macroeconomic variables in a small open economy of Nigeria. Quarterly data between 1981 and 2018 were ...
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Recognizing Handshapes using Small Datasets
... recognition datasets with and without data augmentation techniques. For all datasets we found models that showed a performance on par with or better than the state of the ...other datasets ...
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Deep Learning on Low-Resource Datasets
... most datasets are weakly labelled, having only a list of events present in each recording without any temporal information for ...quality performance, yet in practice it is difficult to collect enough ...
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A repeat sales index robust to small datasets
... As suggested by D. Geltner, commercial properties indices have to be built using repeat sales instead of hedonic indices. The repeat sales method is a means of constructing real estate price indices based on a repeated ...
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A Repeat Sales Index Robust to Small Datasets
... AEW EUROPE, 1-3 rue des Italiens, 75009 Paris, France Tel: (33) 1 78 40 92 60. Email: [email protected] Abstract As suggested by D. Geltner, commercial properties indices have to be built using repeat sales ...
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The Performance Analysis of Generalized Margin Maximizer (GMM) on Separable Data
... block-sparse, low-rank, ...data, GMM min- imizes any arbitrary convex function of the pa- rameter ...the performance of GMM via the solution of a system of nonlinear ...
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Testing the governance-performance relationship for the Tunisian banks: a GMM in system analysis
... State ownership and Bank performance La Porta et al. (2002) argued that state participation in commercial banks is a sign and a clear consideration of their inefficiencies. In fact, the most important question ...
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Small-area deprivation measure datasets for Scotland, 2001 and 2011
... The single-variable deprivation indicators included are: the percent of people with no educational quali fications, percent of people in socially rented accommodation, percent in overcrowded house- holds, percent ...
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Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small Datasets
... small datasets. These choices can greatly influence the predictive performance of the ...real-world datasets across three application areas, giving both inter- and intra-group ...
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Effects of Distance between Classes and Training Datasets Size to the Performance of XCS: Case of Imbalance Datasets
... XCS performance or whether these deficiencies can be explained in some other ...in small and complex datasets, they come accompanied with the problem of distance between classes which in turn causes ...
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Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators
... A small sample comparison of these methods with the GMM3 estimator should be an interesting route for future ...three-step GMM estimates are, by this kind of mis- specification, much less affected than the ...
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Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models
... sample performance of the GMM estimator have shown that it is substantially ...in GMM estimation was first highlighted by Tauchen (1986) for the case of time series data, and Donald and Newey(2001) ...
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On the Performance and Design Tradeoffs of Low Altitude UAV Small Cells in Urban Environments
... to low-altitude UAVs , and the emerging consensus is that UAVs can receive adequate service from terrestrial BSs , despite downtilted antenna misalignment and excessive ...UAV small cell scenario, as we ...
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The impact of component performance on the overall cycle performance of small-scale low temperature organic Rankine cycles
... Abstract. Low temperature organic Rankine cycles offer a promising technology for the generation of power from low temperature heat ...sources. Small-scale systems (~10kW) are of significant ...
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Performance evaluation of Apache Mahout for mining large datasets
... the performance of the data mining algorithms implemented in the Mahout library with Hadoop MapReduce as an infrastructural ...the performance of data mining algorithms can be very different from case to ...
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Performance of lasso-penalized classifiers in high-dimensional datasets
... 25 Discussion Based on the results presented in this paper, the percentage of selected true features and the number of times the intercept-only model was selected appear to be the outcome measures most consistently ...
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Analyzing the Performance of SVM for Polarity Detection with Different Datasets
... and performance was evaluated on the basis of three information retrieval metrics: precision, recall, and ...with low training data. Performance evaluation showed that Decision Tree and Random Forest ...
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Artificial Bee Colony Algorithm is More Effective on Small Size Datasets as Compared to Large Size Datasets in Data Clustering
... the performance of ABC algorithm for data clustering on different size datasets such as contraceptive Method Choice, wisconsin Breast Cancer, iris and thyroid datasets chosen from the standard UCI ...
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A Deep Learning Approach for Classification of Cloud Image Patches on Small Datasets
... is low discriminative ...small datasets. First, we design a suitable deep learning model for small datasets using a CNN, and then we apply data augmentation and dropout regularization ...
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