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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 PDT
Sponsor Pavilion