Semiparametric maximum likelihood probability density estimation.
A comprehensive methodology for semiparametric probability density estimation is introduced and explored. The probability density is modelled by sequences of mostly regular or steep exponential families generated by flexible sets of basis functions, possibly including boundary terms. Parameters are...
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2021
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| Accès en ligne: | https://doaj.org/article/cd5011ef240b492cb7b460bc5287edd5 |
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