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stat.ME2019★ 18 cited
Bayesian estimation of probabilistic sensitivity measures
Isadora Antoniano-Villalobos, Emanuele Borgonovo, Xuefei Lu
Computer experiments are becoming increasingly important in scientific investigations. In the presence of uncertainty, analysts employ probabilistic sensitivity methods to identify…
stat.ME2019
Informative extended Mallows priors in the Bayesian Mallows model
Marta Crispino, Isadora Antoniano-Villalobos
The aim of this work is to study the problem of prior elicitation for the Mallows model with Spearman's distance, a popular distance-based model for rankings or permutation data. P…