Alternating minimization algorithm with a probability generating function-based distance measure
The Expectation Maximization (EM) algorithm, a popular method for maximum likelihood estimation of parameters, requires a complete data space and construction of a conditional expectation. For many statistical models, these may not be straightforward. This paper proposes a simpler Alternating Minimi...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45199/ https://doi.org/10.1007/s10665-024-10349-z |
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