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Journal of the American Statistical Association Volume 110, 2015 - Issue 512
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Theory and Methods

Plausibility Functions and Exact Frequentist Inference

Ryan MartinView further author information
Pages 1552-1561 | Received 01 Apr 2013, Published online: 15 Jan 2016

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Ryan Martin. (2017) A Statistical Inference Course Based on -Values. The American Statistician 71:2, pages 128-136.
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Articles from other publishers (19)

Leonardo Cella & Ryan Martin. (2022) Direct and approximately valid probabilistic inference on a class of statistical functionals. International Journal of Approximate Reasoning 151, pages 205-224.
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Leonardo Cella & Ryan Martin. (2022) Valid inferential models for prediction in supervised learning problems. International Journal of Approximate Reasoning 150, pages 1-18.
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Kin Wai Chan. (2022) General and feasible tests with multiply-imputed datasets. The Annals of Statistics 50:2.
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Stefan Böhringer & Dietmar Lohmann. (2022) Exact model comparisons in the plausibility framework. Journal of Statistical Planning and Inference 217, pages 224-240.
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Leonardo Cella & Ryan Martin. (2022) Validity, consonant plausibility measures, and conformal prediction. International Journal of Approximate Reasoning 141, pages 110-130.
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Leonardo Cella & Ryan Martin. 2022. Belief Functions: Theory and Applications. Belief Functions: Theory and Applications 219 228 .
Joyce Cahoon & Ryan Martin. (2021) Generalized inferential models for censored data. International Journal of Approximate Reasoning 137, pages 51-66.
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Ryan Martin, Michael S. Balch & Scott Ferson. (2021) Response to the comment Confidence in confidence distributions!. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477:2250.
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Leonardo Cella & Ryan Martin. 2021. Belief Functions: Theory and Applications. Belief Functions: Theory and Applications 127 136 .
Michael Scott Balch. (2020) New two-sided confidence intervals for binomial inference derived using Walley's imprecise posterior likelihood as a test statistic. International Journal of Approximate Reasoning 123, pages 77-98.
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Ryan Martin. (2018) On an inferential model construction using generalized associations. Journal of Statistical Planning and Inference 195, pages 105-115.
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Yixuan Qiu, Lingsong Zhang & Chuanhai Liu. (2018) Exact and efficient inference for partial Bayes problems. Electronic Journal of Statistics 12:2.
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Thierry Denœux & Shoumei Li. (2018) Frequency-calibrated belief functions: Review and new insights. International Journal of Approximate Reasoning 92, pages 232-254.
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Ryan Martin. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 8 .
Shifeng Xiong. (2017) Local optimization-based statistical inference. Electronic Journal of Statistics 11:1.
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Kongliang Zhu, Nantiworn Thianpaen & Vladik Kreinovich. 2017. Robustness in Econometrics. Robustness in Econometrics 99 110 .
Ryan Martin. 2017. Robustness in Econometrics. Robustness in Econometrics 169 186 .
Orakanya Kanjanatarakul, Thierry Denœux & Songsak Sriboonchitta. (2016) Prediction of future observations using belief functions: A likelihood-based approach. International Journal of Approximate Reasoning 72, pages 71-94.
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Son Phuc Nguyen, Uyen Hoang Pham, Thien Dinh Nguyen & Hoa Thanh Le. 2016. Integrated Uncertainty in Knowledge Modelling and Decision Making. Integrated Uncertainty in Knowledge Modelling and Decision Making 532 541 .

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