Latent variables analysis in person-oriented research [PDF]
Journal for Person-Oriented Research, 2023 In this article, we demonstrate that latent variable analysis can be of great use in person-oriented research. Starting with exploratory factor analysis of metric variables, we present an example of the problems that come with generalization of ...
Alexander von Eye +2 more
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A Wilcoxon–Mann–Whitney Test for Latent Variables [PDF]
Frontiers in Psychology, 2021 We propose an extension of the Wilcoxon–Mann–Whitney test to compare two groups when the outcome variable is latent. We empirically demonstrate that the test can have superior power properties relative to tests based on Structural Equation Modeling for a
Heidelinde Dehaene +2 more
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Coding of latent variables in sensory, parietal, and frontal cortices during closed-loop virtual navigation [PDF]
eLife, 2022 We do not understand how neural nodes operate and coordinate within the recurrent action-perception loops that characterize naturalistic self-environment interactions.
Jean-Paul Noel +7 more
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Neural criticality from effective latent variables [PDF]
eLifeObservations of power laws in neural activity data have raised the intriguing notion that brains may operate in a critical state. One example of this critical state is ‘avalanche criticality’, which has been observed in various systems, including ...
Mia C Morrell +2 more
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Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables [PDF]
Frontiers in Immunology, 2023 In the development of cell-based cancer therapies, quantitative mathematical models of cellular interactions are instrumental in understanding treatment efficacy. Efforts to validate and interpret mathematical models of cancer cell growth and death hinge
Alexander B. Brummer +8 more
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Bayesian modeling of ChIP-chip data using latent variables [PDF]
BMC Bioinformatics, 2009 Background The ChIP-chip technology has been used in a wide range of biomedical studies, such as identification of human transcription factor binding sites, investigation of DNA methylation, and investigation of histone modifications in animals and ...
Tian Yanan, Liang Faming, Wu Mingqi
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Prior Informed Regularization of Recursively Updated Latent-Variables-Based Models with Missing Observations. [PDF]
Control Eng Pract, 2021 Sun X +6 more
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Using latent variables to improve the management of depression among hemodialysis patients. [PDF]
Ren FailGunzler DD +6 more
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A protocol for modelling generalised biological responses using latent variables in structural equation models [PDF]
One Ecosystem, 2021 In this paper, we consider the problem of how to quantitatively characterise the degree to which a study object exhibits a generalised response. By generalised response, we mean a multivariate response where numerous individual properties change in ...
James Grace, Magdalena Steiner
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An Algorithm for Learning Causal Structure of Latent Variables with Arbitrary Distribution [PDF]
Jisuanji gongcheng, 2022 Causal discovery refers to mining the causal relationship between variables through observation data.In practical application, it needs to learn the causal structure between hidden variables from observation data.Some existing methods mainly address the ...
HAO Zhifeng, CHEN Zhengming, XIE Feng, CHEN Wei, CAI Ruichu
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