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1 |
Heteroscedasticity-robust model screening: A useful toolkit for model averaging in big data analytics✩
ناهمواریانسی قوی غربالگری مدل: یک جعبه ابزار مفید برای میانگین گیری مدل در تجزیه و تحلیل داده های بزرگ-2017 Frequentist model averaging has been demonstrated as an efficient tool to deal with model uncertainty
in big data analysis. In contrast with a conventional data set, the number of regressors in a big data set is
usually quite large, which leads to a exponential number of potential candidate models. In this paper, we
propose a heteroscedasticity-robust model screening (HRMS) method that constructs a candidate model
set through an iterative procedure. Our simulation results and empirical exercise with big data analytics
demonstrate the superiority of our HRMS method over existing methods.
Keywords:Model screening|Model averaging|Big data analytics |
مقاله انگلیسی |
2 |
Comparison of combining methods using Extreme Learning Machines under small sample scenario
مقایسه روش های ترکیبی با استفاده از ماشین یادگیری نهایی تحت سناریوی نمونه های کوچک-2016 Making accurate predictions is a difficult task that is encountered throughout many research domains. In certain cases, the number of available samples is so scarce that providing reliable estimates is a challenging problem. In this paper, we are interested in giving as accurate predictions as possible based on the Extreme Learning Machine type of a neural network in small sample data scenarios. Most of the Extreme Learning Machine literature is focused on choosing a particular model from a pool of candidates, but such approach usually ignores model selection uncertainty and has inferior performance compared to combining methods. We empirically examine several model selection criteria coupled with new model combining approaches that were recently proposed. The results obtained indicate that a careful choice among the combinations must be performed in order to have the most accurate and stable predictions.& 2015 Elsevier B.V. All rights reserved.
Keywords: Extreme Learning Machine | Small sample data | Model selection | Model combining | Mallows Model Averaging | Jackknife Model Averaging |
مقاله انگلیسی |