Results 1 to 10 of about 6,110,460 (312)
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +3 more sources
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
doaj +1 more source
Dynamic system multivariate calibration based on multirate sampling data [PDF]
Modeling, Identification and Control, 2001 The statistical principal component regression (PCR) and chemometric partial least squares regression (PLSR) algorithms based on latent variables (LV) modeling are effective tools for handling ill-conditioned regression data.
Rolf Ergon, Maths Halstensen
doaj +1 more source
A didactically motivated PLS prediction algorithm [PDF]
Modeling, Identification and Control, 2001 The intention of this paper is to develop an easily understood PLS prediction algorithm, especially for the control community. The algorithm is based on an explicit latent variables model, and is otherwise a combination of the previously published ...
Rolf Ergon, Kim H. Esbensen
doaj +1 more source
International Journal of Transportation Science and Technology, 2023 This paper aims to estimate segments of latent variables associated with mode choice. The estimates of latent segmentation is obtained through Structural Equation Modelling (SEM) approach.
Bharvi A. Shah, L.B. Zala, Nipa A. Desai
doaj +1 more source
Research on neural processes with multiple latent variables
IET Image Processing, 2023 Neural Process (NP) fully combines the advantages of neural network and Gaussian Process (GP) to provide an efficient method for solving regression problems. Nonetheless, limited by the dimensionality of the latent variable, NP has difficulty fitting the
Xiao‐Han Yu +4 more
doaj +1 more source