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

    
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  Año 2019, Vol. 34, Número 2

  • Bayes, Oracle Bayes, and Empirical Bayes

    Bradley Efron

    • Resumen

    págs. 177-201

    

  • Comment: Bayes, Oracle Bayes, and Empirical Bayes

    Thomas A. Louis

    págs. 202-205

    

  • Comment: Bayes, Oracle Bayes, and Empirical Bayes

    Nan M. Laird

    págs. 206-208

    

  • Comment: Minimalist g-Modeling

    Roger Koenker, Jiaying Gu

    • Resumen

    págs. 209-213

    

  • Comment: Bayes, Oracle Bayes, and Empirical Bayes

    Aad van der Vaart

    págs. 214-218

    

  • Comment: Empirical Bayes Interval Estimation

    Wenhua Jiang

    • Resumen

    págs. 219-223

    

  • Comment: Empirical Bayes, Compound Decisions and Exchangeability

    Eitan Greenshtein, Ya'acov Ritov

    • Resumen

    págs. 224-228

    

  • Comment: Variational Autoencoders as Empirical Bayes

    Yixin Wang, Andrew C. Miller, David M. Blei

    págs. 229-233

    

  • Rejoinder: Bayes, Oracle Bayes, and Empirical Bayes

    Bradley Efron

    págs. 234-235

    

  • A Kernel Regression Procedure in the 3D Shape Space with an Application to Online Sales of Children’s Wear

    Gregorio Quintana Ortí, Amelia Simó Vidal

    • Resumen

    págs. 236-252

    

  • Statistical Analysis of Zero-Inflated Non-negative Continuous Data: A Review

    Lei Liu, Ya-Chen Tina Shih, Robert L. Strawderman, Daowen Zhang, Bankole A. Johnson, Haitao Chai

    • Resumen

    págs. 253-279

    

  • The Importance of Being Clustered: Uncluttering the Trends of Statistics from 1970 to 2015

    Laura Anderlucci, Angela Montanari, Cinzia Viroli

    • Resumen

    págs. 280-300

    

  • Producing Official County-Level Agricultural Estimates in the United States: Needs and Challenges

    Nathan B. Cruze, Andreea L. Erciulescu, Balgobin Nandram, Wendy J. Barboza, Linda J. Young

    • Resumen

    págs. 301-316