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Title:
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INTEGRATION ALGORITHM AND MAXIMUM LIKELIHOOD ESTIMATION FOR CONTROL THEORY |
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Author(s):
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Yoshinao Shiraki |
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ISBN:
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978-989-8704-10-8 |
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Editors:
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Ajith P. Abraham, Antonio Palma dos Reis and Jörg Roth |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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Maximum Likelihood Estimate (MLE), Gröbner Basis, Holonomic Gradient Descent (HGD), Integration algorithm. |
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Type:
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Poster/Demonstration |
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First Page:
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266 |
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Last Page:
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268 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The holonomic gradient descent (HGD) method has been proposed as a means for calculating the maximum likelihood estimate (MLE), and its effectiveness has, in recent years, been reported within the statistics community. The purpose of HGD calculations is to reduce the calculation of the maximum likelihood estimate (MLE) of particular types of functions to calculating the minimum value of the holonomic function. In this article, we introduce this method to the control community and review the calculation mechanism of HGD. |
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