Derivation of learning process statistics for a general Markov model

DOI10.1007/BF02289509zbMath0135.20606WikidataQ44850915 ScholiaQ44850915MaRDI QIDQ2521007

H. A. Bernbach

Publication date: 1966

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

mathematical biology

Related Items (7)

Population states and eigenstructures: A simplifying view of Markov learning models ⋮ Presolution performance functions for Markov models ⋮ Statistical methods for absorbing Markov-chain models for learning: Estimation and identification ⋮ A discrete time model for detection of randomly presented stimuli ⋮ Derivations of learning statistics from absorbing Markov chains ⋮ An all-or-none theory for learning on both the paired-associate and concept levels ⋮ Matrix analysis of identifiability of some finite Markov models

Cites Work

• A comparison of paired-associate learning models having different acquisition and retention axioms
• Application of a model to paired-associate learning
• Finite Continuous Time Markov Chains

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