The analysis of routinely collected surveillance data is an important challenge in public health practice. We present a method based on a hidden Markov model for monitoring such time series. The model characterizes the sequence of measurements by assuming that its probability density function depend
โฆ LIBER โฆ
Disease surveillance using a hidden Markov model
โ Scribed by Rochelle E Watkins; Serryn Eagleson; Bert Veenendaal; Graeme Wright; Aileen J Plant
- Book ID
- 115018646
- Publisher
- BioMed Central
- Year
- 2009
- Tongue
- English
- Weight
- 687 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1472-6947
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