Rejoinder

Authors

  • Laurie Davies University of Duisburg-Essen, Essen, Germany

DOI:

https://doi.org/10.60923/issn.1973-2201/22077

References

A. BUJA, L. BROWN, A. KUCHIBHOTLA, R. BERK, E. GEORGE, L. ZHAO (2019a). Models as approximations –rejoinder. Statistical Science, 34, no. 4, pp. 606–620.

A. BUJA, L. BROWN, A. KUCHIBHOTLA, R. BERK, E. GEORGE, L. ZHAO (2019b). Models as approximations I: Consequences illustrated with linear regression. Statistical Science, 34, no. 4, pp. 523–544.

L. DAVIES (2014). Data analysis and approximate models, vol. 133 of Monographs on Statistics and Applied Probability. CRC Press, Boca Raton, FL.

L. DÜMBGEN, L. DAVIES (2023). Connecting model-based and model-free approaches to linear least squares regression. arXiv e-prints arXiv:1807.09633v4.

T.HASTIE, R.TIBSHIRANI, R.TIBSHIRANI (2020). Best subset, forward stepwise or lasso? analysis and recommendations based on extensive comparisons. Statistical Science, 35, no. 4, pp. 579–592.

P. J. HUBER (2011). Data Analysis. Wiley, New Jersey.

D. W. MÜLLER (1974). Thesen zur Didaktik der Mathematik. Mathematisch-Physikalische Semesterberichte, Neue Folge, 21, pp. 164–169.

T. ZRNIC,W. FITHIAN (2024). Locally simultaneous inference. The Annals of Statistics, 52, no. 3, pp. 1227–1253.

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Published

2025-11-25

How to Cite

Davies, L. (2024). Rejoinder. Statistica, 84(2), 123–128. https://doi.org/10.60923/issn.1973-2201/22077