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Broniatowski, M. (2021). Minimum divergence estimators, maximum likelihood and the generalized bootstrap. Entropy, 23(2), 185. 
Added by: Rucknium (2022-03-12 04:38)   Last edited by: Rucknium (2022-03-12 04:40)
Resource type: Journal Article
DOI: 10.3390/e23020185
ID no. (ISBN etc.): 1099-4300
BibTeX citation key: Broniatowski2021
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Categories: Not Monero-focused
Keywords: Decoy Selection
Creators: Broniatowski
Collection: Entropy
Views: 2/294
Attachments   entropy-23-00185-v2.pdf [1/125] URLs   http://dx.doi.org/10.3390/e23020185
Abstract
This paper states that most commonly used minimum divergence estimators are MLEs for suited generalized bootstrapped sampling schemes. Optimality in the sense of Bahadur for associated tests of fit under such sampling is considered.
Added by: Rucknium  
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