Abstract
So far in this book, we have mostly focused on linear models. Linear models are relatively simple to describe and implement, and have advantages over other approaches in terms of interpretation and inference.
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James, G., Witten, D., Hastie, T., Tibshirani, R. (2021). Moving Beyond Linearity. In: An Introduction to Statistical Learning. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-0716-1418-1_7
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DOI: https://doi.org/10.1007/978-1-0716-1418-1_7
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