On fast computation of the non‐parametric maximum likelihood estimate of a mixing distribution

By Yong Wang. 2007

97 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f8822c5cf29aa98763fc7418b8241c309a385d47

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In Statistics and Probability

1. Jayanta Kumar Ghosh
2. Ryan Martin
3. Surya T. Tokdar
4. M. Delignette-Muller
5. Christophe Dutang
6. A. van der Vaart
7. Subhashis Ghosal
8. Stéphanie van der Pas

Citations in the corpus

• fitdistrplus: An R Package for Fitting Distributions (2015, methodology): “Even if this representation is always available (by fixing the argument NPMLE.method to "Turnbull" ), now the default representation of the empirical cumulative distribution function (ECDF) uses another more performant non parametric maximum likelihood estimation (NPMLE) approach developped by Wang (”
• CONSISTENCY OF A RECURSIVE ESTIMATE OF MIXING DISTRIBUTIONS (2009, methodology): “For the MLE, we implement an efficient new algorithm of Wang [34].”