Inference of the Kinetic Ising Model with Heterogeneous Missing Data

Carlo Campajola, Fabrizio Lillo, Daniele Tantari

We consider the problem of inferring a causality structure from multiple binary time series by using the Kinetic Ising Model in datasets where a fraction of observations is missing…