publication . Article . 2018

MIXTURE REGRESSION MODEL FOR INCOMPLETE DATA

NGUYEN, Loc; SHAFIQ, Anum;
Open Access
  • Published: 30 Dec 2018
  • Publisher: Zenodo
Abstract
The Regression Expectation Maximization (REM) algorithm, which is a variant of Expectation Maximization (EM) algorithm, uses parallelly a long regression model and many short regression models to solve the problem of incomplete data. ExperimentalresultsprovedresistanceofREMtoincompletedata,inwhichaccuracyofREMdecreasesinsignificantlywhendatasampleismadesparsewithloss ratios up to80%. However, as traditional regression analysis methods, the accuracy of REM can be decreased if data varies complicatedly with many trends. In this research, we propose a so-called Mixture Regression Expectation Maximization (MREM) algorithm. MREM is the full combination of REM and mix...
Subjects
free text keywords: Regression Model, Mixture Regression Model, ExpectationMaximizationAlgorithm, IncompleteData, Regression Model, Mixture Regression Model, ExpectationMaximizationAlgorithm, IncompleteData
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