In statistics, large number of rare events (LNRE) modeling summarizes methods that allow improvements in frequency distribution estimation over the maximum likelihood estimation when "rare events are common".
[1] It can be applied to problems in linguistics (see Zipf distribution), in various natural phenomena, in chemistry, in demography and in bibliography, amongst others.
[2]
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