Preventing Disparities: Bayesian and Frequentist Methods for Assessing Fairness in Machine-Learning Decision-Support Models | IntechOpen

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Preventing Disparities: Bayesian and Frequentist Methods for Assessing Fairness in Machine-Learning Decision-Support Models
By Douglas S. McNair
© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Douglas S. McNair (May 2nd 2018). Preventing Disparities: Bayesian and Frequentist Methods for Assessing Fairness in Machine-Learning Decision-Support Models, New Insights into Bayesian Inference Mohammad Saber Fallah Nezhad, IntechOpen, DOI: null. Available from:
Douglas S. McNair (May 2nd 2018). Preventing Disparities: Bayesian and Frequentist Methods for Assessing Fairness in Machine-Learning Decision-Support Models, New Insights into Bayesian Inference Mohammad Saber Fallah Nezhad, IntechOpen, DOI: null. Available from:
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