Abstract
The quest for efficiency in computational methods yields not only fast algorithms, but also insights that lead to elegant, simple, and general problem-solving methods.
Index Terms
- Algorithm design
Recommendations
Accelerating the convergence of the EM algorithm using the vector ε algorithm
The EM algorithm of Dempster, Laird and Rubin [1977. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. Ser. B 39, 1-22] is a very general and popular iterative computational algorithm that is used to find maximum ...
Acceleration of the EM algorithm
AbstractThe expectation–maximization (EM) algorithm is a well‐known iterative algorithm for finding maximum likelihood estimates from incomplete data and is used in several statistical models with latent variables and missing data. The algorithm also ...
Approaches to how to accelerate the convergence of the EM algorithm. image image
Acceleration of the EM algorithm using the vector epsilon algorithm
The expectation---maximization (EM) algorithm is a very general and popular iterative computational algorithm to find maximum likelihood estimates from incomplete data and broadly used to statistical analysis with missing data, because of its stability, ...
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