Results 21 to 30 of about 3,472,659 (303)
Flexible Robust Mixture Regression Modeling
Revstat Statistical Journal, 2022 This paper provides a flexible methodology for the class of finite mixture of regressions with scale mixture of skew-normal errors (SMSN-FMRM) introduced by [42], relaxing the constraints imposed by the authors during the estimation process.
Marcus G. Lavagnole Nascimento +1 more
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On a Mixture Autoregressive Model
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000 Summary We generalize the Gaussian mixture transition distribution (GMTD) model introduced by Le and co-workers to the mixture autoregressive (MAR) model for the modelling of non-linear time series. The models consist of a mixture of K stationary or non-stationary AR components. The advantages of the MAR model over the GMTD model include
Wong, CS, Li, WK
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What Applying Growth Mixture Modeling Can Tell Us About Predictors of Number Line Estimation
Journal of Numerical Cognition, 2020 Number line estimation tasks have been considered a good indicator of mathematical competency for many years and are traditionally analyzed by fitting individual regression curves to individual responders. We innovate on this technique by applying growth
Jeffrey M. DeVries +2 more
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, 2019 Mixtures of experts models provide a framework in which covariates may be included in mixture models. This is achieved by modelling the parameters of the mixture model as functions of the concomitant covariates. Given their mixture model foundation, mixtures of experts models possess a diverse range of analytic uses, from clustering observations to ...
Gormley, Isobel Claire +1 more
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Signal Partitioning Algorithm for Highly Efficient Gaussian Mixture Modeling in Mass Spectrometry. [PDF]
PLoS ONE, 2015 Mixture - modeling of mass spectra is an approach with many potential applications including peak detection and quantification, smoothing, de-noising, feature extraction and spectral signal compression.
Andrzej Polanski +4 more
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Latent Profiles of Seminary Students’ Perceptions of Sense of Community Amidst the COVID-19 Pandemic
ReligionsExisting research on sense of community in educational contexts shows positive associations with well-being and negative associations with mental health symptoms. However, exploration of students’ sense of community within the seminary context is minimal.
Peter J. Jankowski +2 more
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OPTIMIZATION OF THE COMPOSITION OF A COMPOSITE MIXTURE BASED ON GLUTEN-FREE RAW MATERIALS
Современная наука и инновации, 2022 Modeling of formulations of composite mixtures with a given chemical composition, functional and technological properties for the production of bakery, flour confectionery products for functional and specialized purposes is an actual scientific and ...
P. K. Garkina +3 more
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Geodesic Finite Mixture Models [PDF]
Proceedings of the British Machine Vision Conference 2014, 2014 Peer ...
Simó Serra, Edgar +2 more
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CoRR, 2016 Casting neural networks in generative frameworks is a highly sought-after endeavor these days. Contemporary methods, such as Generative Adversarial Networks, capture some of the generative capabilities, but not all. In particular, they lack the ability of tractable marginalization, and thus are not suitable for many tasks.
Or Sharir +3 more
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Grouping influences output interference in short-term memory: a mixture modeling study
Frontiers in Psychology, 2016 Output interference is a source of forgetting induced by recalling. We investigated how grouping influences output interference in short-term memory. In Experiment 1, the participants were asked to remember four colored items. Those items were grouped by
Min-Suk eKang +2 more
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