Discrete-time Markov chains have been successfully used to investigate treatment programs and health care protocols for chronic diseases. In these situations, the transition matrix, which describes the natural progression of the disease, is often estimated from a cohort observed at common intervals.
A simple check of the time homogeneity of Markov chains
β Scribed by Anders Mattsson; Daniel Thorburn
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 417 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0277-6693
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β¦ Synopsis
In this paper we consider a population where the state of each individual follows a Markov chain. If the population is recorded for a very few periods only, it is still possible to estimate the transition matrix and to make projections into the far future. These forecasts are sensible if the chains are time homogeneous, but this is difficult to check if only a few periods are observed. We suggest a simple method to check this assumption, and obtain an upper bound on the time the process can have been time homogeneous. The method is also applied to a second-order Markov chain and to the mover-stayer model.
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