Concepts and a case study for a flexible class of graphical Markov models

2013.

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Abstract:

With graphical Markov models, one can investigate complex dependences, summarize some results of statistical analyses with graphs and use these graphs to understand implications of well-fitting models. The models have a rich history and form an area that has been intensively studied and developed in recent years. We give a brief review ...More

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