Estimation and visualization of confusability matrices from adaptive measurement data

DOI10.1016/j.jmp.2008.05.007zbMath1203.91258OpenAlexW1999753959WikidataQ110086110 ScholiaQ110086110MaRDI QIDQ972244

Ulla Richardson, Heikki Lyytinen, Janne V. Kujala

Publication date: 25 May 2010

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2008.05.007

zbMATH Keywords

Markov chain Monte CarloBayesian statisticsadaptive estimationconfusion matrixRao-Blackwellizationminimum variance unbiased estimatorchoice axiomconstant-ratio ruledyslexiaGrapheme-Phoneme connectionlearning gamemultiple-choice task

Mathematics Subject Classification ID

Decision theory (91B06) Memory and learning in psychology (91E40) Applications of statistics to psychology (62P15)

Related Items (1)

A Bayesian-optimal principle for learner-friendly adaptation in learning games

Uses Software

• BayesDA

Cites Work

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• The choice axiom after twenty years
• Bayesian computation and stochastic systems. With comments and reply.
• MM algorithms for generalized Bradley-Terry models.
• Bayesian adaptive estimation: the next dimension
• Weighing the Odds

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