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Rank Tests from Partially Ordered Data Using Importance and MCMC Sampling Methods
Author(s) -
Debashis Mondal,
Nina Hinrichs
Publication year - 2016
Publication title -
statistical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.204
H-Index - 108
eISSN - 2168-8745
pISSN - 0883-4237
DOI - 10.1214/16-sts549
Subject(s) - statistics , markov chain monte carlo , sampling (signal processing) , test statistic , mathematics , statistical hypothesis testing , random walk , gibbs sampling , computer science , monte carlo method , bayesian probability , filter (signal processing) , computer vision

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