Bayesian adaptive estimation of psychometric slope and threshold
نویسندگان
چکیده
منابع مشابه
Bayesian adaptive estimation of psychometric slope and threshold
We introduce a new Bayesian adaptive method for acquisition of both threshold and slope of the psychometric function. The method updates posterior probabilities in the two-dimensional parameter space of psychometric functions and makes predictions based on the expected mean threshold and slope values. On each trial it sets the stimulus intensity that maximizes the expected information to be gai...
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The adaptive experimentation methodology has been adopted in visual psychophysical modeling in the pursuit of efficiency in experimental time and cost. The standard scheme only optimizes one design in each experimental stage, although simultaneous optimization of multiple designs per stage can be beneficial, but difficult to implement because of a surge in computation. In this study, we incorpo...
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The adaptive experimentation methodology has been adopted in visual psychophysical modeling in the pursuit of efficiency in experimental time and cost. The standard scheme only optimizes one design in each experimental stage, although simultaneous optimization of multiple designs per stage can be beneficial, but difficult to implement because of a surge in computation. In this study, we incorpo...
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Several investigators have fit psychometric functions to data from adaptive procedures for threshold estimation. Although the threshold estimates are in general quite correct, one encounters a slope bias that has not been explained up to now. The present paper demonstrates slope bias for parametric and nonparametric maximum-likelihood fits and for Spearman-Kärber analysis of adaptive data. The ...
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ژورنال
عنوان ژورنال: Vision Research
سال: 1999
ISSN: 0042-6989
DOI: 10.1016/s0042-6989(98)00285-5