Markov model
A Markov model is when things are predicted from other things that came immediately before. For example, if it usually snows after it rains, you might guess that it will snow tomorrow if it is raining today. A Markov model is part of probability theory. Mostly, it tries to predict "states" from previous states. Some Markov models include the Markov chain and the Markov decision process.