title: Anomaly detection using Bayesian networks
body: <p>I am working on the problem of anomaly detection in multivariate time series data using Bayesian networks. </p>
  
  <p>I am confused is it a good approach to use the dynamic Bayesian network model for anomaly detection? As using Bayesian approach one can only calculate the probability of occurrence of similarity of data on trained data. </p>
  
  <p>Is there is any other approach to solve the same using other outlier score method?</p>