Reference health
A simple introduction to Markov Chain Monte–Carlo sampling
21/21 checkable references clean · checked 2026-07-26
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 21 checked references that resolve
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The simplest complete model of choice response time: Linear ballistic accumulation
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Bayesian Estimation of Multinomial Processing Tree Models with Heterogeneity in Participants and Items
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Updating Schemes, Correlation Structure, Blocking and Parameterization for the Gibbs Sampler
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A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods
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Bayesian Computation Via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods
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A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces
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A method for efficiently sampling from distributions with correlated dimensions.
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The time course of perceptual choice: The leaky, competing accumulator model.
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Cognitive model decomposition of the BART: Assessment and application
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A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi‐Attribute Judgment
The 5 references without a DOI — listed, not checked
no DOI — not checked(1996) In Gilks, W.R., Richardson, S., & Spiegelhalter, D.J. (Eds.), Markov chain Monte Carlo in practice. Boca Raton: Chapman & Hall/CRC.
no DOI — not checkedGreen, D.M., & Swets, J.A. (1966). Signal detection theory and psychophysics. New York: Wiley.
no DOI — not checkedKruschke, J. (2014). Doing Bayesian data analysis. A tutorial with R: JAGS, and Stan. Elsevier Science.
no DOI — not checkedLee, M.D. (2013). Wagenmakers E.-J. Bayesian Cognitive Modeling: A Practical Course. Cambridge University Press.
no DOI — not checkedWagenmakers, E.-J., Wetzels, R., Borsboom, D., van der Maas, H.L.J., & Kievit, R.A. (2012). An agenda for purely confirmatory research. Perspectives on Psychological Science, 7, 627–633.
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