His writings on signal detection theory, providing a precise language and graphic notation for analyzing decision-making in the presence of uncertainty, have been widely applied, most recently in cancer research.
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Signal detection theory ( SDT ) involves a bias and reduces ability to distinguish tools from weapons after a Black prime even in situations when race was incidental ( nondiagnostic ).
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The 1950s saw a surge in mathematical theories of psychological processes, including Luce's theory of choice, Tanner and Swets'introduction of signal detection theory for human stimulus detection, and Miller's approach to information processing.
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He has worked and published on signal detection theory and time series analysis, where he pioneered the use of kernel density estimation ( also known as the Parzen window in his honor ).
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Modern approaches to psychophysics, for example signal detection theory, imply that the observed JND, even in this statistical sense, is not an absolute quantity, but will depend on situational and motivational as well as perceptual factors.
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To apply signal detection theory to a data set where stimuli were either present or absent, and the observer categorized each trial as having the stimulus present or absent, the trials are sorted into one of four categories:
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It has also been questioned, particularly in terms of signal detection theory, whether any given stimulus is actually associated with a particular and " absolute " perceived intensity; i . e . one that is independent of contextual factors and conditions.
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