Exploring Class Enumeration in Bayesian Growth Mixture Modeling Based on Conditional Medians
Frontiers in Education, 2021 Growth mixture modeling is a popular analytic tool for longitudinal data analysis. It detects latent groups based on the shapes of growth trajectories.
Seohyun Kim, Xin Tong, Zijun Ke
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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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A Fully Nonparametric Modelling Approach to Binary Regression [PDF]
, 2014 We propose a general nonparametric Bayesian framework for binary regression, which is built from modeling for the joint response-covariate distribution.
DeYoreo, Maria, Kottas, Athanasios
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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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Bayesian spectral modeling for multiple time series [PDF]
, 2019 We develop a novel Bayesian modeling approach to spectral density estimation for multiple time series. The log-periodogram distribution for each series is modeled as a mixture of Gaussian distributions with frequency-dependent weights and mean functions.
Cadonna, Annalisa +2 more
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Partitioning Pervasive Detrital Geochronologic Age Distributions in the Southern Alaskan Forearc
Frontiers in Earth Science, 2019 The extensive detrital zircon U-Pb geochronologic dataset presented here includes new and compiled data (N = 38; n = 8,006) from modern rivers that together comprehensively characterizes the geographic distribution of pervasive Mesozoic—Cenozoic igneous ...
Emily S. Finzel
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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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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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Locally Adaptive Nonparametric Binary Regression [PDF]
, 2007 A nonparametric and locally adaptive Bayesian estimator is proposed for estimating a binary regression. Flexibility is obtained by modeling the binary regression as a mixture of probit regressions with the argument of each probit regression having a thin
Cottet, Remy +4 more
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Clustering in Additive Mixed Models with Approximate Dirichlet Process Mixtures using the EM Algorithm [PDF]
, 2013 We consider additive mixed models for longitudinal data with a nonlinear time trend. As random effects distribution an approximate Dirichlet process mixture is proposed that is based on the truncated version of the stick breaking presentation of the ...
Heinzl, Felix, Tutz, Gerhard
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