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A statistician plays darts

Author

Listed:
  • Ryan J. Tibshirani
  • Andrew Price
  • Jonathan Taylor

Abstract

No abstract is available for this item.

Suggested Citation

  • Ryan J. Tibshirani & Andrew Price & Jonathan Taylor, 2011. "A statistician plays darts," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 213-226, January.
    • Handle: RePEc:bla:jorssa:v:174:y:2011:i:1:p:213-226
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    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-985X.2010.00651.x
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    Citations

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    Cited by:

    1. Daniel Goller, 2023. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Annals of Operations Research, Springer, vol. 325(1), pages 649-679, June.
    2. Enzo Brox & Daniel Goller, 2024. "Tournaments, Contestant Heterogeneity and Performance," Papers 2401.05210, arXiv.org.
    3. Marius Ötting & Roland Langrock & Christian Deutscher & Vianey Leos‐Barajas, 2020. "The hot hand in professional darts," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 565-580, February.
    4. Klein Teeselink, Bouke & Potter van Loon, Rogier J.D. & van den Assem, Martijn J. & van Dolder, Dennie, 2020. "Incentives, performance and choking in darts," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 38-52.
    5. Martin B. Haugh & Chun Wang, 2022. "Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2540-2551, September.
    6. Joshua G A Cashaback & Christopher K Lao & Dimitrios J Palidis & Susan K Coltman & Heather R McGregor & Paul L Gribble, 2019. "The gradient of the reinforcement landscape influences sensorimotor learning," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-27, March.

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