Matrix analysis of identifiability of some finite Markov models

DOI10.1007/BF02291365zbMath0227.62064MaRDI QIDQ2549554

Coleman T. Merryman, James G. Greeno, Richard Millward

Publication date: 1971

Published in: Psychometrika (Search for Journal in Brave)

Mathematics Subject Classification ID

Mathematical psychology (91E99) Applications of statistics to psychology (62P15)

Related Items (7)

Markovian interpretations of dual retrieval processes ⋮ Population states and eigenstructures: A simplifying view of Markov learning models ⋮ Equivalence classes of functions of finite Markov chains ⋮ Statistical methods for absorbing Markov-chain models for learning: Estimation and identification ⋮ Second responses in paired-associate learning ⋮ How many parameters can a model have and still be testable? ⋮ An identifiable model of two-stage learning

Cites Work

• Derivation of learning process statistics for a general Markov model
• Markovian processes with identifiable states: General considerations and application to all-or-none learning
• Paired-associate learning with short-term retention: Mathematical analysis and data regarding identification of parameters
• Derivations of learning statistics from absorbing Markov chains
• An analysis of some conditions for representing \(N\) state Markov processes as general all or none models
• A Markovian Function of a Markov Chain

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