Statistical science

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  Año 2020, Vol. 35, Número 4

  • Sparse Regression: Scalable Algorithms and Empirical Performance

    Dimitris Bertsimas, Jean Pauphilet, Bart Van Parys

    • Resumen

    págs. 555-578

    

  • Best Subset, Forward Stepwise or Lasso?: Analysis and Recommendations Based on Extensive Comparisons

    Trevor Hastie, Robert Tibshirani, Ryan J. Tibshirani

    • Resumen

    págs. 579-592

    

  • A Discussion on Practical Considerations with Sparse Regression Methodologies

    Owais Sarwar, Benjamin Sauk, Nikolaos V. Sahinidis

    • Resumen

    págs. 593-601

    

  • Discussion of “Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons”

    Rahul Mazumder

    págs. 602-608

    

  • Modern Variable Selection in Action: Comment on the Papers by HTT and BPV

    Edward George

    págs. 609-613

    

  • A Look at Robustness and Stability of ℓ1 -versus ℓ0 -Regularization: Discussion of Papers by Bertsimas et al. and Hastie et al.

    Yuansi Chen, Armeen Taeb, Peter Bühlmann

    • Resumen

    págs. 614-622

    

  • Rejoinder: Sparse Regression: Scalable Algorithms and Empirical Performance

    Dimitris Bertsimas, Jean Pauphilet, Bart Van Parys

    págs. 623-624

    

  • Rejoinder: Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons

    Trevor Hastie, Robert Tibshirani, Ryan J. Tibshirani

    págs. 625-626

    

  • Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios

    Michael Schweinberger, Pavel N. Krivitsky, Carter T. Butts, Jonathan R. Stewart

    • Resumen

    págs. 627-662

    

  • A Conversation with J. Stuart (Stu) Hunter

    Richard D. De Veaux (entrev.), J. Stuart Hunter (entrevistado)

    • Resumen

    págs. 663-671