markovian analysis

Markovian analysis

The use of Markov modelling to project future events in a system with multiple hypothetical components, which can be used to create artificial intelligence-based decision-making algorithms.

In Markovian analysis, the patient’s health is represented by a series of “health states” that, over time, move to other states—usually of lesser health, greater morbidity or death, according to the laws of probability.

markovian analysis

Decision-making The use of the Markov process to project future events in a system with multiple hypothetical components. See Receiver operator characteristic.

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A Markovian analysis of additive-increase multiplicative-decrease algorithms.

Analysis of an algorithm catching elephants on the Internet

These probabilities are referred to as first-order transitions in a Markovian analysis. Figure 1 gives an example of a first-order Markov chain transition matrix (P) with five states.

Using Markov chain analyses in counselor education research

First, we repeat the Markovian analysis for only the terminal, family-level dichotomies.