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• W4313530364 abstract "The theory of multilevel hierarchical data Expectation Maximization (EM)-algorithm is introduced via discrete time Markov chain (DTMC) epidemic models. A general model for a multilevel hierarchical discrete data is derived. The observed sample Y in the system is a stochastic incomplete data, and the missing data Z exhibits a multilevel hierarchical data structure. The EM-algorithm to find ML-estimates for parameters in the stochastic system is derived. Applications of the EM-algorithm are exhibited in the two DTMC models, to find ML-estimates of the system parameters. Numerical results are given for influenza epidemics in the state of Georgia (GA), USA." @default.
• W4313530364 created "2023-01-06" @default.
• W4313530364 creator A5039567574 @default.
• W4313530364 date "2022-12-01" @default.
• W4313530364 modified "2023-10-18" @default.
• W4313530364 title "The multilevel hierarchical data EM-algorithm. Applications to discrete-time Markov chain epidemic models" @default.
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• W4313530364 doi "https://doi.org/10.1016/j.heliyon.2022.e12622" @default.
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