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An analysis of pilot whale vocalization activity using hidden Markov models

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Figure

FIG. 1: Call rates of whale calls by data set. The x−axis gives the observation number ofthe 2-minute intervals
FIG. 2: Visualization of an HMM. Arrows indicate dependence. Here, the state process Sis the behavioral state of the whales, and the observations X are calls per time interval,with subscripts indicating the time period.
TABLE I: Coefficients from the MCA. For each combination of factor levels, e.g. ‘VLoose’, ‘Low’, ‘Absent’, the synthetic variable Cohesion equals the sum of the respectivecoefficients.
TABLE II: Model selection criteria for benchmark models with no covariates; llk gives themaximum log likelihood, while C-V stands for mean cross-validated (log) likelihood.
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