Modeling Spatial Temporal Binary Data Using Markov Random Fields

@inproceedings{Zhu2003ModelingST,
  title={Modeling Spatial Temporal Binary Data Using Markov Random Fields},
  author={Jun Zhu},
  year={2003}
}
An autologistic regression model consists of a linear regression of a response variable on explanatory variables and an auto regression on responses at neighboring locations on a lattice It is a Markov random eld with pairwise spatial dependence and is a popular tool for modeling spatial binary responses In this article we add a temporal component to the autologistic model for spatial temporal binary data The model we propose is a Markov chain across time where the transition probability is… CONTINUE READING