New methodologies related to experimentation and optimization include using historical data from past experiments, important distributional parameters are estimated, allowing the display of vastly more accurate analytics. Scalability to big data systems is implemented via a limited information likelihood approximation. One example application includes performing online experiments including testing website preferences of visitors.
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