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Modeling biological data: Several vignettes

The author develops the theme of biology as a rich source of interesting problems where the data available are often noisy and multivariate. He presents various situations in which the data raise model building and inference issues. He emphasizes that appropriate modeling requires careful thought and usually provides methodological challenges. The data sets considered include bird count data, tracking data from leatherback turtles, and amino acid sequence data from primates and cetaceans.