Discussion of the Paper "Connecting Model-Based and Model-Free Approaches to Linear Least Squares Regression" by Lutz Dümbgen and Laurie Davies (2024)

Authors

  • Efthymios Costa Imperial College London, London, United Kingdom
  • Ioanna Papatsouma Imperial College London, London, United Kingdom

DOI:

https://doi.org/10.60923/issn.1973-2201/20656

References

Y. BENJAMINI (2020). Selective inference: the silent killer of replicability. Harvard Data Science Review, 2, no. 4.

L. DÜMBGEN, L. DAVIES (2024). Connecting model-based and model-free approaches to linear least squares regression. Statistica, 84, no. 2, pp. 65–81.

D. B. DUNSON (2018). Statistics in the big data era: failures of the machine. Statistics & Probability Letters, 136, pp. 4–9.

J.W. TUKEY (1993). Issues relevant to an honest account of data-based inference, partially in the light of Laurie Davies’s paper. Princeton University, Princeton.

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

Costa, E., & Papatsouma, I. (2024). Discussion of the Paper "Connecting Model-Based and Model-Free Approaches to Linear Least Squares Regression" by Lutz Dümbgen and Laurie Davies (2024). Statistica, 84(2), 107–108. https://doi.org/10.60923/issn.1973-2201/20656