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Wednesday, June 29 • 2:30pm - 3:30pm
Bayesian inference for Internet ratings data using R

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Poster #30

Internet ratings data are usually ordinal measurements nfrom 1 to 5 (or 10) rated by Internet users on the quality nof all kinds of items. The traditional graphical displays nof the ratings data does not account for the inter-rater difference.nSome model-based methods with MCMC approach have beennsuggested to address this problem.nIn the present work we propose a real-time Bayesian inferencenalgorithm for parameter estimation.nTwo real data sets and the R implementation of the abovenmentioned algorithm will be presented.

avatar for Ruby Chiu-Hsing Weng

Ruby Chiu-Hsing Weng

Professor, Department of Statistics, National Chengchi Univ.
Ph.D., Statistics, University of Michigan | My research interests include sequential analysis, time series analysis, Bayesian inference and machine learning.

Wednesday June 29, 2016 2:30pm - 3:30pm
Sponsor Pavilion 326 Galvez Street Stanford, CA 94305-6105