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Found 2 papers, 1 papers with code
Describing and Understanding Neighborhood Characteristics through Online Social Media
To surface the content that is characteristic for a region, we present the geographical hierarchy model (GHM), a probabilistic model based on the assumption that data observed in a region is a random mixture of content that pertains to different levels of a hierarchy.
The Entropy of Conditional Markov Trajectories
To quantify the randomness of Markov trajectories with fixed initial and final states, Ekroot and Cover proposed a closed-form expression for the entropy of trajectories of an irreducible finite state Markov chain.
Information Theory Information Theory Applications
