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Home / Some Applications of Expectation Maximization Algorithm
 
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Some Applications of Expectation Maximization Algorithm

Loc Nguyen
$179.99
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Expectation maximization (EM) algorithm is a popular and powerful mathematical method for statistical parameter estimation in case that there exist both observed data and hidden data. This book focuses on applications of EM in which the implicit relationship is essential to connect observed data and hidden data. In other words, such applications reinforce EM which in turn extends estimation methods like maximum likelihood estimation (MLE) or moment method.

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MORE INFO
Format
Paperback
Publisher
Eliva Press
Date
25 March 2022
Pages
230
ISBN
9781636486185

Expectation maximization (EM) algorithm is a popular and powerful mathematical method for statistical parameter estimation in case that there exist both observed data and hidden data. This book focuses on applications of EM in which the implicit relationship is essential to connect observed data and hidden data. In other words, such applications reinforce EM which in turn extends estimation methods like maximum likelihood estimation (MLE) or moment method.

Read More
Format
Paperback
Publisher
Eliva Press
Date
25 March 2022
Pages
230
ISBN
9781636486185

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