Ders Kitabı / Malzemesi / Önerilen Kaynaklar

Kitaplar Hastie, T., Tibshirani, R., & Wainwright, M. (2015). Statistical learning with sparsity: the lasso and generalizations. CRC press. Ryan, T. P. (2008). Modern regression methods (Vol. 655). John Wiley & Sons. Witten, D., & James, G. (2013). An introduction to statistical learning with applications in R. springer publication. Makaleler Izenman, A. J. (1975). Reduced-rank regression for the multivariate linear model. Journal of multivariate analysis, 5(2), 248-264. Rothenhäusler, D., Meinshausen, N., Bühlmann, P., & Peters, J. (2021). Anchor regression: Heterogeneous data meet causality. Journal of the Royal Statistical Society Series B: Statistical Methodology, 83(2), 215-246. Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1), 267-288. Ugwuowo, F. I., Oranye, H. E., & Arum, K. C. (2023). On the jackknife Kibria-Lukman estimator for the linear regression model. Communications in Statistics-Simulation and Computation, 52(12), 6116-6128.