Markov model


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Related to Markov model: Markov process, Hidden Markov model

Markov model

(probability, simulation)
A model or simulation based on Markov chains.
References in periodicals archive ?
A hidden Markov model uses the potential carry-trade profits to identify the most likely regime and the probability of switching from a calm regime to one of crisis for each exchange rate.
The Markov model is obtained by combining channel hopping stratege of CQM protocol and IEEE 802.
Generalized Markov Models for Real-Time Modeling of Continuous Systems," IEEE Transactions on Fuzzy Systems.
The major classification models used were, Neural Networks (NN), Support Vector Machine (SVM), and Hidden Markov Model (HMM).
According to differences between observation probability values and state transition description modes, hidden Markov chains (HMM) can be classified into discrete HMM (DHMM), semi-continuous hidden Markov model (SCHMM) and continuous hidden Markov model (CHMM).
Also, the Markov model has threshold values in line with those generated using the Baseball Prospectus data.
Detection of Machine Failure: Hidden Markov Model Approach.
West, "Policy recognition in the abstract hidden Markov model," Journal of Artificial Intelligence Research, vol.
1) and/or a hybrid approach where a closed-form solution or a numerical solution using a Markov model is combined with Fault Tree Analysis.
A Markov model was used to assess the cost and outcome of SNM, BonT-A and OMT as comparators in patients with refractory OAB failing on conservative management and first-line OMT (Fig.
A generalized Markov model construction for partially dependent events in a form of cascade Gilbert model is presented in [6] and later extended to a cascaded combination of Gilbert and Elliot models in [7].
A Hidden Markov Model (HMM), a statistical modeling method, can be used to determine the copy number.