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Journal of the American Statistical Association Volume 110, 2015 - Issue 510
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Applications and Case Studies

Joint Bayesian Modeling of Binomial and Rank Data for Primate Cognition

Bradley J. BarneyView further author information
,
Federica AmiciView further author information
,
Filippo AureliView further author information
,
Josep CallView further author information
&
Valen E. JohnsonView further author information
Pages 573-582 | Received 01 Dec 2013, Published online: 06 Jul 2015

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Maryam Aghayerashti, Ehsan Bahrami Samani & Mojtaba Ganjali. (2023) Bayesian joint modeling of binomial and rank response with non-ignorable missing data for primate cognition. Communications in Statistics - Theory and Methods 0:0, pages 1-21.
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Articles from other publishers (5)

Maryam Aghayerashti, Ehsan Bahrami Samani & Mojtaba Ganjali. (2023) Bayesian Latent Variable Model of Mixed Correlated Rank and Beta-Binomial Responses with Missing Data for the International Statistical Literacy Project Poster Competition. Sankhya B 85:1, pages 210-250.
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Emilie Eliseussen, Thomas Fleischer & Valeria Vitelli. (2022) Rank‐based Bayesian variable selection for genome‐wide transcriptomic analyses. Statistics in Medicine 41:23, pages 4532-4553.
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Can Cui, Susheela P. Singh, Ana‐Maria Staicu & Brian J. Reich. (2021) Bayesian variable selection for high‐dimensional rank data. Environmetrics 32:7.
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A. E. Anikaev, V. G. Chalyan & N. V. Meishvili. (2020) Studies of Learning Skills with Different Levels of Difficulty in Hamadryas Baboons (Papio hamadryas). Neuroscience and Behavioral Physiology 50:7, pages 881-891.
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Judith M. Burkart, Michèle N. Schubiger & Carel P. van Schaik. (2016) The evolution of general intelligence. Behavioral and Brain Sciences 40.
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