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
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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
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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
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Identifiability of complex networks
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
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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
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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
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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
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The Case for Optimized Edge-Centric Tractography at Scale
Frontiers in Neuroinformatics, 2022 The anatomic validity of structural connectomes remains a significant uncertainty in neuroimaging. Edge-centric tractography reconstructs streamlines in bundles between each pair of cortical or subcortical regions.
Joseph Y. Moon +7 more
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Nonlinear Observability Algorithms with Known and Unknown Inputs: Analysis and Implementation
Mathematics, 2020 The observability of a dynamical system is affected by the presence of external inputs, either known (such as control actions) or unknown (disturbances).
Nerea Martínez, Alejandro F. Villaverde
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Set-membership identifiability of nonlinear models and related parameter estimation properties
International Journal of Applied Mathematics and Computer Science, 2016 Identifiability guarantees that the mathematical model of a dynamic system is well defined in the sense that it maps unambiguously its parameters to the output trajectories.
Jauberthie Carine +2 more
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