= Nathaniel E. Helwig
{c}
<Nathaniel E. Helwig> develops statistical methods at the intersection of <psychology> and <computational statistics>. His University of Minnesota research biography emphasizes multivariate and <nonparametric statistics> for complex observations.https://nathaniel-helwig.github.io/about.html[Author biography and research focus]{ref}
His <Generalized Linear Models in R by Nathaniel E. Helwig> explains how a <link function> connects a response's conditional <expected value> with a linear predictor. For <logistic regression>, the predictor represents log odds; for <Poisson regression>, a logarithmic link ensures a positive fitted mean. This separates the model for the mean from the response's <probability distribution>, while making <deviance> and dispersion part of model assessment.<Generalized Linear Models in R by Nathaniel E. Helwig>[Section 1 and logistic/Poisson examples; the notes explicitly credit their textbook basis]{ref}
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