Quest: A Bayesian adaptive psychometric method

Andrew B. Watson; Denis G. Pelli

doi:10.3758/BF03202828

Quest: A Bayesian adaptive psychometric method

Andrew B. Watson, Denis G. Pelli

Psychology

Research output: Contribution to journal › Article › peer-review

Abstract

An adaptive psychometric procedure that places each trial at the current most probable Bayesian estimate of threshold is described. The procedure takes advantage of the common finding that the human psychometric function is invariant in form when expressed as a function of log intensity. The procedure is simple, fast, and efficient, and may be easily implemented on any computer.

Original language	English (US)
Pages (from-to)	113-120
Number of pages	8
Journal	Perception & Psychophysics
Volume	33
Issue number	2
DOIs	https://doi.org/10.3758/BF03202828
State	Published - Mar 1983

ASJC Scopus subject areas

Experimental and Cognitive Psychology
General Psychology
Sensory Systems

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abstract = "An adaptive psychometric procedure that places each trial at the current most probable Bayesian estimate of threshold is described. The procedure takes advantage of the common finding that the human psychometric function is invariant in form when expressed as a function of log intensity. The procedure is simple, fast, and efficient, and may be easily implemented on any computer.",

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year = "1983",

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AB - An adaptive psychometric procedure that places each trial at the current most probable Bayesian estimate of threshold is described. The procedure takes advantage of the common finding that the human psychometric function is invariant in form when expressed as a function of log intensity. The procedure is simple, fast, and efficient, and may be easily implemented on any computer.

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Quest: A Bayesian adaptive psychometric method

Abstract

ASJC Scopus subject areas

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