TY - CHAP AU - Douglas S. McNair ED - Mohammad Saber Fallah Nezhad Y1 - 2018-02-09 PY - 2018 T1 - Preventing Disparities: Bayesian and Frequentist Methods for Assessing Fairness in Machine-Learning Decision-Support Models N2 - This book is an introduction to the mathematical analysis of Bayesian decision-making when the state of the problem is unknown but further data about it can be obtained. The objective of such analysis is to determine the optimal decision or solution that is logically consistent with the preferences of the decision-maker, that can be analyzed using numerical utilities or criteria with the probabilities assigned to the possible state of the problem, such that these probabilities are updated by gathering new information. BT - New Insights into Bayesian Inference SP - Ch. 5 UR - https://doi.org/10.5772/intechopen.73176 DO - 10.5772/intechopen.73176 SN - 978-1-78923-093-2 PB - IntechOpen CY - Rijeka Y2 - 2024-03-28 ER -