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A min-max regret approach to maximum likelihood inference u..:
Guillaume, Romain
;
Dubois, Didier
International Journal of Approximate Reasoning. 121 (2020) - p. 135-149 , 2020
Link:
https://doi.org/10.1016/j.ijar.2020.03.003
RT Journal T1 <Title>A min-max regret approach to maximum likelihood inference under incomplete data</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijar.2020.03.003&Exemplar=1&LAN=DE A1 Guillaume, Romain A1 Dubois, Didier PB Elsevier BV YR 2020 SN 0888-613X JF International Journal of Approximate Reasoning VO 121 SP 135 OP 149 LK http://dx.doi.org/https://doi.org/10.1016/j.ijar.2020.03.003 DO https://doi.org/10.1016/j.ijar.2020.03.003 SF ELIB - SuUB Bremen
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