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Herds were classified as with and without active infection based on the within-herd BVDV seroprevalence in young stock using Bayesian finite mixture modelling.
In this paper, BYY harmony learning with a bi-directional architecture is studied for Gaussian mixture modelling via a gradient learning rule.
Data was collected from 497 respondents and the empirical model was tested using variance based Structural Equation Modelling and Finite Mixture modelling.
In order to overcome such problems, a new shape classification is proposed, using morphometric analysis (Elliptic Fourier Analysis) followed by unsupervised model-based clustering and discriminant analysis, both based on Gaussian mixture modelling.
Therefore the optimal automated method was by mixture modelling.
The novel application of pattern mixture modelling for refining survey estimates using record-linked data.
Statistical methodological papers: The novel application of pattern mixture modelling for refining survey estimates using record-linked data.
Growth mixture modelling [ 39, 40] was applied to detect subgroups with varying trajectories of change in ADHD symptoms in parent and teacher ratings.
The analysis will be conducted on an intention-to-treat basis with alternative methods of accounting for missing data: multiple imputation, and pattern mixture modelling [ 63].
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Briefly, Autoclass-C uses a Bayesian extension of finite-mixture modelling to perform unsupervised searches recovering the most probable number of statistically different groups given the data.
Change in ADHD symptoms, as rated by parents and teachers, was examined post hoc in patients of the intent-to-treat-population (N = 822), using growth-mixture modelling to detect response trajectory groups after switching medication.
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