AIC under the framework of least squares estimation

DOI10.1016/j.aml.2017.05.005zbMath1376.62009OpenAlexW2618483832MaRDI QIDQ2411126

Michele L. Joyner, Harvey Thomas Banks

Publication date: 20 October 2017

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.20/35577

zbMATH Keywords

inverse problemsleast squares estimationbiological applicationsAkiake information contentAkiake information criterion

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Statistical aspects of information-theoretic topics (62B10)

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Estimating intratumoral heterogeneity from spatiotemporal data ⋮ Information content in data sets: a review of methods for interrogation and model comparison ⋮ Continuous structured population models for \textit{Daphnia magna} ⋮ Estimation of parameter distributions for reaction-diffusion equations with competition using aggregate spatiotemporal data ⋮ Hierarchical Mixed-Effects Model for HIV Dynamics ⋮ Sparse estimation technique for digital pre-distortion of impedance-mismatched power amplifiers ⋮ Semiparametric estimation for space-time max-stable processes: an \(F\)-madogram-based approach ⋮ Adaption of Akaike information criterion under least squares frameworks for comparison of stochastic models

Cites Work

• Statistical error model comparison for logistic growth of green algae (\textit{Raphidocelis subcapitata})
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• Evaluation of the Kullback‐Leibler Discrepancy for Model Selection in Open Population Capture‐Recapture Models
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