Abstract
Markov modeling, otherwise called stochastic processes, assumes that per time unit the same % of a population will have an event, and it is used for long term predictions from short term observations. This chapter is to assess whether the method can be applied by non-mathematicians using an online matrix-calculator.
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Cleophas, T.J., Zwinderman, A.H. (2014). Stochastic Processes for Long Term Predictions from Short Term Observations. In: Machine Learning in Medicine - Cookbook. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-04181-0_18
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DOI: https://doi.org/10.1007/978-3-319-04181-0_18
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04180-3
Online ISBN: 978-3-319-04181-0
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