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3 papers

1996Journal of the Royal Statistical Society, Series B, vol. 58, no. 1, pp. 267-288, DOI: 10.1111/j.2517-6161.1996.tb02080.x

Regression Shrinkage and Selection via the Lasso

Robert Tibshirani

Finding: Lasso was shown to produce more interpretable models compared to Ridge regression and works well in high-dimensional settings.

lasso regularization

1981The Annals of Statistics, vol. 9, no. 3, pp. 465-474, DOI: 10.1214/aos/1176345451

Gauss and the invention of least squares

Stephen M. Stigler

Finding: Gauss introduced the least squares method in 1809 to solve problems in astronomy and geodesy, and it remains one of the most important statistical methods.

least squares regression

1958Journal of the Royal Statistical Society, Series B, vol. 20, no. 2, pp. 215-242, DOI: 10.1111/j.2517-6161.1958.tb00292.x

The regression analysis of binary sequences (with discussion)

David R. Cox

Finding: Logistic regression was shown to be an effective tool for modeling the probability of a binary event based on predictor variables.

logistic regression binary data