We present a technique for incorporating data attributes that are supposed Missing Not at Random (MNAR) into Bayesian Networks (BNs). While traditional methods of incorporating data that is Missing at Random (MAR) into BNs are well documented, there are fewer tested methods for discovering and incorporating data Missing Not at Random (MNAR). We present a review of literature in BNs and missing ...
