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Matrix Analysis of Identifiability of Some Finite Markov Models

https://doi.org/10.1007/bf02291365
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02289345openalex-snapshot
Derivations of Learning Statistics from Absorbing Markov Chains
inferredcites →https://doi.org/10.1007/bf02289509openalex-snapshot
Derivation of Learning Process Statistics for a General Markov Model
inferredcites →https://doi.org/10.1007/bf02289599openalex-snapshot
Markovian Processes with Identifiable States: General Considerations and Application to All-or-None Learning
inferredcites →https://doi.org/10.1007/bf02290151openalex-snapshot
Comments on “Markovian Processes with Identifiable States: General Considerations and Applications to All-or-None Learning”
inferredcites →https://doi.org/10.1007/bf02290152openalex-snapshot
Identifiability and Statistical Properties of Two-Stage Learning with no Successes in the Initial Stage
inferredcites →https://doi.org/10.1007/bf02290602openalex-snapshot
An Analysis of Some Conditions for Representing N State Markov Processes as General all or None Models
inferredcites →https://doi.org/10.1016/0022-2496(67)90033-8openalex-snapshot
Paired-associate learning with short-term retention: Mathematical analysis and data regarding identification of parameters
inferredcites →https://doi.org/10.1214/aoms/1177706444openalex-snapshot
A Markovian Function of a Markov Chain

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-1-4612-4694-7_2openalex-snapshot
The New Two-Stage Model of Learning: A Tool for Analyzing the Loci of Memory Differences in Intellectually Impaired Children
inferred← citeshttps://doi.org/10.1007/bf02291573openalex-snapshot
Statistical Methods for Absorbing Markov-Chain Models for Learning: Estimation and Identification
inferred← citeshttps://doi.org/10.1007/bf02293556openalex-snapshot
Precriterion Stationarity in Markovian Learning Models
inferred← citeshttps://doi.org/10.1016/0022-2496(74)90029-7openalex-snapshot
Equivalence classes of functions of finite Markov chains
inferred← citeshttps://doi.org/10.1016/0022-2496(75)90058-9openalex-snapshot
Second responses in paired-associate learning
inferred← citeshttps://doi.org/10.1016/0022-2496(80)90018-8openalex-snapshot
Population states and eigenstructure: A simplifying view of Markov learning models
inferred← citeshttps://doi.org/10.1016/0022-2496(82)90005-0openalex-snapshot
An identifiable model of two-stage learning
inferred← citeshttps://doi.org/10.1016/0022-2496(85)90005-7openalex-snapshot
How many parameters can a model have and still be testable?
inferred← citeshttps://doi.org/10.1016/j.jmp.2013.07.003openalex-snapshot
Markovian interpretations of dual retrieval processes
inferred← citeshttps://doi.org/10.1037//0033-2909.91.3.634openalex-snapshot
The general theory of two-stage learning: A mathematical review with illustrations from memory development.
inferred← citeshttps://doi.org/10.1146/annurev.ps.24.020173.000501openalex-snapshot
Mathematical Learning Theory and the New "Mental Forestry"
inferred← citeshttps://doi.org/10.2307/2987540openalex-snapshot
On the Use of Minimum Chi-Square Estimation
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