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Behavioral and Brain Sciences, 2010
AbstractIn the target article, Cramer et al. suggest that diagnostic classification is improved by modeling the relationship between manifest variables (i.e., symptoms) rather than modeling unobservable latent variables (i.e., diagnostic categories such as Generalized Anxiety Disorder).
Dennis J, McFarland, Loretta S, Malta
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AbstractIn the target article, Cramer et al. suggest that diagnostic classification is improved by modeling the relationship between manifest variables (i.e., symptoms) rather than modeling unobservable latent variables (i.e., diagnostic categories such as Generalized Anxiety Disorder).
Dennis J, McFarland, Loretta S, Malta
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Latent variable models with nonparametric interaction effects of latent variables
Statistics in Medicine, 2013Renal disease is one of the common complications of diabetes, especially for Asian populations. Moreover, cardiovascular and renal diseases share common risk factors. This paper proposes a latent variable model with nonparametric interaction effects of latent variables for a study based on the Hong Kong Diabetes Registry, which was established in 1995 ...
Song, Xinyuan +2 more
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Measurement: Interdisciplinary Research and Perspectives, 2008
This paper formulates a metatheoretical framework for latent variable modeling. It does so by spelling out the difference between observed and latent variables. This difference is argued to be purely epistemic in nature: We treat a variable as observed when the inference from data structure to variable structure can be made with certainty and as latent
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This paper formulates a metatheoretical framework for latent variable modeling. It does so by spelling out the difference between observed and latent variables. This difference is argued to be purely epistemic in nature: We treat a variable as observed when the inference from data structure to variable structure can be made with certainty and as latent
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Continuity of latent variable models
IEEE Transactions on Automatic Control, 1990We study the continuity of the behavior of dynamical systems as a function of the parameters in their behavioral equations. The problem is motivated by means of an RLC circuit whose port behavior exhibits a surprising discontinuity as a function of the numerical values of the elements in the circuit.
WILLEMS, JC, NIEUWENHUIS, JWH
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Nonlinear latent variable regression
2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA), 2013Many operations, such as monitoring and control, require the availability of some key process variables. When these variables are difficult to measure, it is usually relied on inferential models that can be used to estimate these variables from other easier-to-measure variables.
Muddu Madakyaru +2 more
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Dimension in latent variable models
Journal of Mathematical Psychology, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Statistical Methods in Medical Research, 2007
Anders, Skrondal, Sophia, Rabe-Hesketh
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Anders, Skrondal, Sophia, Rabe-Hesketh
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