Inference problems for irreversible stochastic epidemic models
published: March 7, 2016, recorded: December 2015, views: 13
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
We present a method based on Belief Propagation to study a series of inference problems on discrete dynamical cascade models based on partial and/or noisy observations of the cascades. The problems include the identification of the source, the discovery of undetected infected nodes, prediction of features of the future evolution, and the inference of the supporting network.
Download slides: netadis2015_braunstein_epidemic_models_01.pdf (898.8 KB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !