Stochastic learning theories for a response continuum with non-determinate reinforcement
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Continuous analogues of the finite linear and stimulus sampling theories are developed for non-determinate reinforcement schedules. Closed-form expressions are derived for the asymptotic response distribution and certain sequential statistics. Computations for a target experiment are given to illustrate the character of the theoretical results.
KeywordsPublic Policy Theoretical Result Statistical Theory Learning Theory Sequential Statistic
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