Thou shalt identify! The identifiability of two high-threshold models in confidence-rating recognition (and super-recognition) paradigms

DOI10.1016/J.JMP.2016.03.002zbMath1396.91621OpenAlexW2328952045MaRDI QIDQ313070

Rani Moran

Publication date: 9 September 2016

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2016.03.002

zbMATH Keywords

model comparisoncomputational modelsmodel identifiabilityhigh thresholdsidentifiability proofsrecognition memorysuper-recognition

Mathematics Subject Classification ID

Cognitive psychology (91E10) Applications of statistics to psychology (62P15)

Related Items (2)

Selecting amongst multinomial models: an apologia for normalized maximum likelihood ⋮ Parameter recovery for the leaky competing accumulator model

Uses Software

• BayesDA

Cites Work

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• Estimating the dimension of a model
• Assessing model mimicry using the parametric bootstrap.
• Model selection by normalized maximum likelihood
• Markovian processes with identifiable states: General considerations and application to all-or-none learning
• Bayes Factors
• Fisher information and stochastic complexity
• Identifiability of a Linear Relation between Variables Which Are Subject to Error

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