Parameter Identifiability of Discrete Bayesian Networks with Hidden Variables [PDF]
Identifiability of parameters is an essential property for a statistical model to be useful in most settings. However, establishing parameter identifiability for Bayesian networks with hidden variables remains challenging.
Allman Elizabeth S. +3 more
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A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology [PDF]
Practical 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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A new method for a priori practical identifiability. [PDF]
Background and objectivePractical identifiability analysis, i.e., ascertaining whether a model property can be determined from given data, is central to model-based data analysis in biomedicine. The main approaches used today all require that coverage of
Peter Thompson +3 more
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Analysing the Structural Identifiability and Observability of Mechanistic Models of Tumour Growth [PDF]
Mechanistic cancer models can encapsulate beliefs about the main factors influencing tumour growth. In recent decades, many different types of dynamic models have been used for this purpose.
Adriana González Vázquez +1 more
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S-synchronization and Excitation Constancy in Structural Identifiability Problem of Nonlinear Systems [PDF]
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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The influence of identifiability and singularity in moral decision making [PDF]
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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Identifiability of complex networks
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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Suppression and analysis on annoyance of motor vehicle noise using water sound injection
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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Parameter identifiability and redundancy: theoretical considerations. [PDF]
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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The Case for Optimized Edge-Centric Tractography at Scale
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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