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Clintin P. Davis-Stober

Researcher at University of Missouri

Publications -  71
Citations -  1614

Clintin P. Davis-Stober is an academic researcher from University of Missouri. The author has contributed to research in topics: Bayes factor & Transitive relation. The author has an hindex of 20, co-authored 65 publications receiving 1394 citations. Previous affiliations of Clintin P. Davis-Stober include University of Illinois at Urbana–Champaign & Indiana University – Purdue University Indianapolis.

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Transitivity of preferences.

TL;DR: In counterpoint to Tversky's (1969) seminal "Intransitivity of Preferences," it is shown that the data from many of the available studies designed to elicit intransitive choice are consistent with transitive preferences, and uses parsimonious mixture models.
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Development of the time course for processing conflict: an event-related potentials study with 4 year olds and adults

TL;DR: Differences in the amplitude and time course of event-related potentials (ERPs) between children and adults that are consistent with their differences in reaction time constitute neural correlates of children's greater difficulty in monitoring and resolving conflict in this and similar tasks.
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When is a crowd wise

TL;DR: The authors provided a general definition of crowd wisdom: a crowd is wise if a linear aggregate of its members' judgments is closer to the target value than a randomly, but not necessarily uniformly, sampled member of the crowd.
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The pipeline project : Pre-publication independent replications of a single laboratory's research pipeline

Martin Schweinsberg, +82 more
TL;DR: The Pre-Publication Independent Replication (PPIR) project as discussed by the authors is a collaborative approach to improving the reproducibility of scientific research, in which findings are replicated in qualified independent laboratories before (rather than after) they are published.
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Analysis of multinomial models under inequality constraints: Applications to measurement theory

TL;DR: In this paper, a Bayesian approach to test decision-making axioms is presented, which is a classical extension to Myung, Karabatsos, and Iverson's [Myung, J. I., K. C., and I. J. (2005).