Parameter identifiability and redundancy: theoretical considerations. [PDF]
PLoS ONE, 2010 BACKGROUND: Models for complex biological systems may involve a large number of parameters. It may well be that some of these parameters cannot be derived from observed data via regression techniques.
Mark P Little +2 more
doaj +2 more sources
Identifiability of complex networks [PDF]
Frontiers in Physics, 2023 We discuss the core principles underpinning the concept of identifiability, providing an overview of relevant literature concerning this phenomenon within the domain of complex networks.
M. Zanin, J. M. Buldú, J. M. Buldú
doaj +3 more sources
When seasonal structure dominates: rethinking causal attribution in environmental epidemiology [PDF]
Frontiers in EpidemiologyReproducibility is widely treated as evidence of reliable causal inference in environmental epidemiology. Yet in environmental time-series studies, exposures, behaviours, and mortality often share strong seasonal structure, making causal inference highly
Erling Häggström Gunfridsson
doaj +2 more sources
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology [PDF]
Advanced SciencePractical identifiability is a fundamental challenge in the data‐driven modeling of biological systems, as many model parameters cannot be directly measured and must be estimated from experimental data.
Shun Wang, Wenrui Hao
doaj +2 more sources
S-synchronization and Excitation Constancy in Structural Identifiability Problem of Nonlinear Systems [PDF]
EPJ Web of Conferences, 2021 An approach to analysis the structural identifiability (SI) of nonlinear dynamical systems under uncertainty was proposed. S-synchronizability condition of an input is the basis for the structural identifiability estimation of the nonlinear system.
Karabutov Nikolay
doaj +1 more source
The influence of identifiability and singularity in moral decision making [PDF]
Judgment and Decision Making, 2015 There is an increased willingness to help identified individuals rather than non-identified, and the effect of identifiability is mainly present when a single individual rather than a group is presented.
Johanna Wiss +4 more
doaj +2 more sources
Suppression and analysis on annoyance of motor vehicle noise using water sound injection
Xibei Gongye Daxue Xuebao, 2022 Different from the traditional noise control approaches based on sound energy reduction, this study focuses on the annoyance suppression of motor vehicle noise based on audio injection.
ZHAO Huanqi +8 more
doaj +1 more source
A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models. [PDF]
Bull Math BiolMathematical modelling is a widely used approach to understand and interpret clinical trial data. This modelling typically involves fitting mechanistic mathematical models to data from individual trial participants.
Cassidy T +6 more
europepmc +2 more sources
Reply to determining structural identifiability of parameter learning machines [PDF]
, 2016 The paper Ran and Hu (2014, Neurocomputing) examines identifiability and parameter redundancy in classes of models used in machine learning. This note discusses the results on global identifiability and also clarifies that the paper's results on ...
Cole, Diana J.
core +1 more source
Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods [PDF]
Royal Society Open Science, 2015 As cardiac cell models become increasingly complex, a correspondingly complex ‘genealogy’ of inherited parameter values has also emerged. The result has been the loss of a direct link between model parameters and experimental data, limiting both ...
Aidan C. Daly +3 more
doaj +1 more source