Statistical science

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  Año 2019, Vol. 34, Número 1

  • Probabilistic integration: A role in statistical computation?

    François-Xavier Briol, Chris J. Oates, Mark Girolami, Michael A. Osborne, Dino Sejdinovic

    • Resumen

    págs. 1-22

    

  • Comment on “Probabilistic Integration: A Role in Statistical Computation?”

    Fred J. Hickernell, Rathinavel Jagadeeswaran

    • Resumen

    págs. 23-28

    

  • Comment: Unreasonable Effectiveness of Monte Carlo

    Art B. Owen

    • Resumen

    págs. 29-33

    

  • Comment on “Probabilistic Integration: A Role in Statistical Computation?”

    Michael L. Stein, Ying Hung

    págs. 34-37

    

  • Rejoinder: Probabilistic Integration: A Role in Statistical Computation?

    François-Xavier Briol, Chris J. Oates, Mark Girolami, Michael A. Osborne, Dino Sejdinovic

    • Resumen

    págs. 38-42

    

  • Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

    Vincent Dorie, Jennifer Hill, Uri Shalit, Marc Scott, Daniel Cervone

    • Resumen

    págs. 43-68

    

  • Comment: Spherical Cows in a Vacuum: Data Analysis Competitions for Causal Inference

    Miguel A. Hernán

    • Resumen

    págs. 69-71

    

  • Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?

    Qingyuan Zhao, Luke J. Keele, Dylan S. Small

    • Resumen

    págs. 72-76

    

  • Comment: Strengthening Empirical Evaluation of Causal Inference Methods

    David Jensen

    • Resumen

    págs. 77-81

    

  • Comment on “Automated Versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition”

    Susan Gruber, Mark J. van der Laan

    • Resumen

    págs. 82-85

    

  • Comment: Causal Inference Competitions: Where Should We Aim?

    Ehud Karavani, Tal El-Hay, Yishai Shimoni, Chen Yanover

    • Resumen

    págs. 86-89

    

  • Comment: Contributions of Model Features to BART Causal Inference Performance Using ACIC 2016 Competition Data

    Nicole Bohme Carnegie

    • Resumen

    págs. 90-93

    

  • Rejoinder: Response to Discussions and a Look Ahead

    Vincent Dorie, Jennifer Hill, Uri Shalit, Marc Scott, Daniel Cervone

    • Resumen

    págs. 94-99

    

  • Gaussian Integrals and Rice Series in Crossing Distributions—to Compute the Distribution of Maxima and Other Features of Gaussian Processes

    Georg Lindgren

    • Resumen

    págs. 100-128

    

  • Generalized Multiple Importance Sampling

    Víctor Elvira Arregui, Luca Martino, David Luengo García, Mónica F. Bugallo

    • Resumen

    págs. 129-155

    

  • A Conversation with Piet Groeneboom

    Geurt Jongbloed (entrev.), Piet Groeneboom (entrevistado)

    • Resumen

    págs. 156-168

    

  • A Conversation with Dick Dudley

    Vladimir Koltchinskii (entrev.), Richard Nickl (entrev.), Philippe Rigollet (entrev.), Dick Dudley (entrevistado)

    • Resumen

    págs. 169-175