LAUSR

Score tests based on a finite mixture model of Markov processes under intermittent observation.

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1 Published in 2019 at "Statistics in medicine"

DOI: 10.1002/sim.8155

Abstract: A mixture model is described, which accommodates different Markov processes governing disease progression in a finite set of latent classes. We give special attention to the setting in which individuals are examined intermittently and transition… read more here.

Keywords: mixture model; score tests; markov processes;

Performance of the StaphGold ELISA test in determining subclinical Staphylococcus aureus infections in dairy cows using a Gaussian mixture model

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1 Published in 2022 at "Veterinary Medicine and Science"

DOI: 10.1002/vms3.785

Abstract: Abstract Background A novel ELISA test has been developed to detect antigen‐specific IgG in early and late lactation cows in New Zealand. Objectives This study was to evaluate the discriminatory ability of the ELISA based… read more here.

Keywords: using gaussian; elisa test; test; mixture model ... See more keywords

A Semiparametric and Location-Shift Copula-Based Mixture Model

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0 Published in 2017 at "Journal of Classification"

DOI: 10.1007/s00357-017-9243-9

Abstract: Modeling mixtures of distributions has rested on Gaussian distributions and/or a conditional independence hypothesis for a long time. Only recently have researchers begun to construct and study broader generic models without appealing to such hypotheses.… read more here.

Keywords: mixture model; location shift;

Numerical implementation of a phase mixture model for rate-dependent inelasticity of tempered martensitic steels

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0 Published in 2018 at "Acta Mechanica"

DOI: 10.1007/s00707-018-2151-1

Abstract: Tempered martensitic steels with a high chromium content are used for power plant components at elevated temperatures under creep–fatigue conditions. In order to model the complex mechanical behavior of the alloy X20CrMoV12-1, a phase mixture… read more here.

Keywords: phase mixture; mixture model; model; tempered martensitic ... See more keywords

A note on the Gao et al. (2019) uniform mixture model in the case of regression

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1 Published in 2020 at "Annals of Operations Research"

DOI: 10.1007/s10479-019-03475-w

Abstract: We extend the uniform mixture model of Gao et al. (Ann Oper Res, 2019. https://doi.org/10.1007/s10479-019-03236-9 ) to the case of linear regression. Gao et al. (Ann Oper Res, 2019. https://doi.org/10.1007/s10479-019-03236-9 ) proposed that to characterize… read more here.

Keywords: mixture model; uniform mixture; case; gao ... See more keywords

Performance enhancement of salient object detection using superpixel based Gaussian mixture model

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0 Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-4748-0

Abstract: Humans possess an intelligent system which effortlessly detect salient objects with high accuracy in real-time. It is a challenge to develop a computational model which can mimic human behavior such that the model achieves better… read more here.

Keywords: mixture model; detection; proposed model; time ... See more keywords

What Doesn’t Work for Whom? Exploring Heterogeneity in Responsiveness to the Family Check-Up in Early Childhood Using a Mixture Model Approach

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1 Published in 2017 at "Prevention Science"

DOI: 10.1007/s11121-017-0805-1

Abstract: This study applied latent class analysis to a family-centered prevention trial in early childhood to identify subgroups of families with differential responsiveness to the Family Check-Up (FCU) intervention. The sample included 731 families with 2-year-olds… read more here.

Keywords: intervention; mixture model; early childhood; family ... See more keywords

Embedded task system and Gaussian mixture model in the analysis and application of user behavior in marketing management

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0 Published in 2021 at "Wireless Networks"

DOI: 10.1007/s11276-021-02697-w

Abstract: With the rapid development of science and technology, embedded mission systems have also penetrated into various industries such as scientific research and military technology. The more and more complex tasks and higher frequency of use… read more here.

Keywords: mixture model; company; marketing management; marketing ... See more keywords

Computer-assisted delineation of cerebral infarct from diffusion-weighted MRI using Gaussian mixture model

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0 Published in 2017 at "International Journal of Computer Assisted Radiology and Surgery"

DOI: 10.1007/s11548-017-1520-x

Abstract: PurposeDiffusion-weighted imaging (DWI) is a widely used medical imaging modality for diagnosis and monitoring of cerebral stroke. The identification of exact location of stroke lesion helps in perceiving its characteristics, an essential part of diagnosis… read more here.

Keywords: mixture model; methodology; stroke lesion; computer assisted ... See more keywords

Deriving reference values for nerve conduction studies from existing data using mixture model clustering

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0 Published in 2021 at "Clinical Neurophysiology"

DOI: 10.1016/j.clinph.2021.04.013

Abstract: OBJECTIVE to obtain locally valid reference values (RVs) from existing nerve conduction study (NCS) data. METHODS we used age, sex, height and limb temperature-based mixture model clustering (MMC) to identify normal and abnormal measurements on… read more here.

Keywords: mixture model; existing data; model clustering; nerve conduction ... See more keywords

A spatially constrained shifted asymmetric Laplace mixture model for the grayscale image segmentation

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0 Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.10.039

Abstract: Abstract In this paper, the grayscale image segmentation problem is investigated and a new mixture model with shifted asymmetric Laplace distribution component is proposed. Instead of the conventional Gaussian model, the shifted asymmetric Laplace distribution… read more here.

Keywords: mixture model; asymmetric laplace; image segmentation; model ... See more keywords