On the public citation graph

Derivations of Learning Statistics from Absorbing Markov Chains

https://doi.org/10.1007/bf02289345
0 signed · 26 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/bf02289509openalex-snapshot
Derivation of Learning Process Statistics for a General Markov Model
inferredcites →https://doi.org/10.1007/bf02289796openalex-snapshot
Application of a Model to Paired-Associate Learning
inferredcites →https://doi.org/10.1016/0022-2496(64)90011-2openalex-snapshot
An all-or-none model for noncorrection routines with elimination of incorrect responses
inferredcites →https://doi.org/10.1016/0022-2496(66)90006-xopenalex-snapshot
A model for response latency in paired-associate learning
inferredcites →https://doi.org/10.1016/0022-2496(67)90045-4openalex-snapshot
Statistics and moments-parameter estimates for a duoprocess paired-associate learning model
inferredcites →https://doi.org/10.1016/s0022-5371(64)80071-2openalex-snapshot
Latency in a modified paired-associate learning experiment
inferredcites →https://doi.org/10.2307/2282654openalex-snapshot
Studies in Mathematical Psychology.
inferredcites →https://doi.org/10.2307/2309264openalex-snapshot
Finite Markov Chains.
inferredcites →https://doi.org/10.2307/2342659openalex-snapshot
Studies in Mathematical Learning Theory.

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-1-4612-5616-8_4openalex-snapshot
Stochastic Learning Models
inferred← citeshttps://doi.org/10.1007/978-94-009-9397-6_6openalex-snapshot
Suppes’ Work in the Foundations of Psychology
inferred← citeshttps://doi.org/10.1007/bf02291221openalex-snapshot
Presolution Performance Functions for Markov Models
inferred← citeshttps://doi.org/10.1007/bf02291365openalex-snapshot
Matrix Analysis of Identifiability of Some Finite Markov Models
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/10.1016/0001-6918(81)90018-4openalex-snapshot
A general framework for the analysis of concept identification tasks
inferred← citeshttps://doi.org/10.1016/0010-0285(73)90008-xopenalex-snapshot
A model of three-choice discrimination learning under complete and incomplete feedback conditions
inferred← citeshttps://doi.org/10.1016/0022-2496(78)90026-3openalex-snapshot
A discrete time model for detection of randomly presented stimuli
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(83)90035-4openalex-snapshot
Some deterministic models of concept identification
inferred← citeshttps://doi.org/10.1016/s0010-9452(13)80162-1openalex-snapshot
A Model-Based Study of Learning and Memory Following Transient Global Amnesia Attacks
inferred← citeshttps://doi.org/10.1037//0278-7393.6.6.754openalex-snapshot
Interpreting associative-learning stages.
inferred← citeshttps://doi.org/10.1037//0278-7393.7.1.1openalex-snapshot
Stages-of-learning analysis of picture-word effects in associative memory.
inferred← citeshttps://doi.org/10.1037/h0080852openalex-snapshot
Explaining category interference effects in associative memory.
inferred← citeshttps://doi.org/10.1146/annurev.ps.24.020173.000501openalex-snapshot
Mathematical Learning Theory and the New "Mental Forestry"
inferred← citeshttps://doi.org/10.3758/bf03202130openalex-snapshot
Where is the randomness for the human computer?
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.