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Fig. 2 | Plant Methods

Fig. 2

From: A successive time-to-event model of phyllochron dynamics for hypothesis testing: application to the analysis of genetic and environmental effects in maize

Fig. 2

Monte Carlo Expectation Maximization algorithm. Starting from an initial value of the parameters, the unobserved times of leaf appearance are drawn from their distribution given the observed data. Then, the maximum likelihood estimator is inferred from the simulated (unobserved) data, producing a new estimate of the parameters. The algorithm is iterated until stabilization of the parameters

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Plant Methods

ISSN: 1746-4811