Results 41 to 50 of about 736,978 (266)
A Mixture Integer-Valued Garch Model
Revstat Statistical Journal, 2016 In this paper, we generalize the mixture integer-valued ARCH model (MINARCH) introduced by Zhu et al. (2010) (F. Zhu, Q. Li, D. Wang. A mixture integer-valued ARCH model, J. Statist. Plann.
Mamadou Lamine Diop +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa +7 more
wiley +1 more source
STENSL: Microbial Source Tracking with ENvironment SeLection
mSystems, 2022 Microbial source tracking analysis has emerged as a widespread technique for characterizing the properties of complex microbial communities. However, this analysis is currently limited to source environments sampled in a specific study.
Ulzee An +5 more
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Testing for homogeneity in mixture models [PDF]
Econometric Theory, 2017 Statistical models of unobserved heterogeneity are typically formalized as mixtures of simple parametric models and interest naturally focuses on testing for homogeneity versus general mixture alternatives. Many tests of this type can be interpreted asC(α) tests, as in Neyman (1959), and shown to be locally asymptotically optimal.
Jiaying Gu +2 more
openaire +6 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Medication nonadherence during the first 100 days after pediatric hematopoietic stem cell transplantation (HSCT) and during oncology treatment increases risk for complications. BMT4me is a caregiver‐facing mobile health (mHealth) application providing medication reminders, symptom tracking, and note‐taking features to support ...
Micah A. Skeens +4 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSpectral responses captured by satellites can be adapted for a wide range of questions and applications relevant to land use/land cover (LULC) analysis. The multitude of existing and upcoming satellites can significantly advance the study of cause–
Emiliana Valentini +10 more
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Hybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance
Cybernetics and Information Technologies, 2016 The present work proposes hybridization of Expectation-Maximization (EM) and K-means techniques as an attempt to speed-up the clustering process. Even though both the K-means and EM techniques look into different areas, K-means can be viewed as an ...
Kishor D. Raja, Venkateswarlu N. B.
doaj +1 more source
A Smart Region-Growing Algorithm for Single-Neuron Segmentation From Confocal and 2-Photon Datasets
Frontiers in Neuroinformatics, 2020 Accurately digitizing the brain at the micro-scale is crucial for investigating brain structure-function relationships and documenting morphological alterations due to neuropathies.
Alejandro Luis Callara +5 more
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On Methods for Merging Mixture Model Components Suitable for Unsupervised Image Segmentation Tasks
Mathematics, 2022 Unsupervised image segmentation is one of the most important and fundamental tasks in many computer vision systems. Mixture model is a compelling framework for unsupervised image segmentation.
Branislav Panić +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen +21 more
wiley +1 more source