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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
Finding: Lasso was shown to produce more interpretable models compared to Ridge regression and works well in high-dimensional settings.
lassoregularization
1981The Annals of Statistics, vol. 9, no. 3, pp. 465-474, DOI: 10.1214/aos/1176345451
Gauss and the invention of least squares
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 squaresregression
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)
Finding: Logistic regression was shown to be an effective tool for modeling the probability of a binary event based on predictor variables.
logistic regressionbinary data