Results 31 to 40 of about 42,201,288 (339)
Automatica, 2018 We describe a new framework for fitting jump models to a sequence of data. The key idea is to alternate between minimizing a loss function to fit multiple model parameters, and minimizing a discrete loss function to determine which set of model parameters is active at each data point.
Alberto Bemporad +3 more
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A cautionary note on testing latent variable models
Frontiers in Psychology, 2015 The article tackles the practice of testing latent variable models. The analysis covered recently published studies from 11 psychology journals varying in orientation and impact.
Ivan eRopovik
doaj +1 more source
Model Fit and Model Selection [PDF]
Review, 2007 This paper uses an example to show that a model that fits the available data perfectly may pro vide worse answers to policy questions than an alternative, imperfectly fitting model. The author argues that, in the context of Bayesian estimation, this result can be interpreted as being due to the use of an inappropriate prior over the parameters of shock
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Learning to Fit Morphable Models
, 2022 Fitting parametric models of human bodies, hands or faces to sparse input signals in an accurate, robust, and fast manner has the promise of significantly improving immersion in AR and VR scenarios. A common first step in systems that tackle these problems is to regress the parameters of the parametric model directly from the input data.
Choutas, V. +3 more
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A Monte Carlo study of IRTree models’ ability to recover item parameters
Frontiers in Psychology, 2023 Item response tree (IRTree) models are theorized to extract response styles from self-report data by utilizing multidimensional item response theory (IRT) models based on theoretical decision processes.
Gene M. Alarcon +2 more
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A goodness of fit measure related to r² for model performance assessment [PDF]
, 2013 Checking the predictive worth of an environmental model inevitably includes a goodness of fit metric to quantify the degree of matching to recorded data, thereby giving a measure of model performance. Considerable analysis and discussion have taken place
Bardsley, W. Earl
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Detecting Violations of Unidimensionality by Order-Restricted Inference Methods
Frontiers in Applied Mathematics and Statistics, 2016 The assumption of unidimensionality and quantitative measurement represents one of the key concepts underlying most of the commonly applied of item response models.
Moritz eHeene +2 more
doaj +1 more source
Animal, 2008 The aim of the present study was to investigate the daily measured traits milk yield, water intake and dry matter intake with fixed and random regression models added with different error covariance structures.
E. Kramer +3 more
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Regulatory fit and health behavior [PDF]
, 2008 Everyone prefers health to ill-health, though some worry more about ill health than others and for others abstract health concerns seem to pale compared with the prospect of immediate hedonic pleasures.
Oyserman, Daphna +3 more
core +1 more source
Fitting the Michaelis–Menten model
Journal of Computational and Applied Mathematics, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas L. Toulias, Christos P. Kitsos
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