Markov Model

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Across
  1. 4. A distribution that does not change as the process evolves
  2. 6. The likelihood of a state change occurring
  3. 8. The movement from one state to another in a Markov model
  4. 9. The observable output associated with a hidden state
  5. 10. A type of Markov model where states are not directly visible
Down
  1. 1. The property that future states depend only on the current state
  2. 2. A table used to represent state transition probabilities
  3. 3. A process involving random variables and probabilities
  4. 5. A sequence of states linked by transitions in a Markov process
  5. 7. A specific condition or situation at a point in a Markov process