Results 41 to 50 of about 1,959,808 (288)

BAMBI: An R Package for Fitting Bivariate Angular Mixture Models

open access: yesJournal of Statistical Software, 2021
Statistical analyses of directional or angular data have applications in a variety of fields, such as geology, meteorology and bioinformatics. There is substantial literature on descriptive and inferential techniques for univariate angular data, with the
Saptarshi Chakraborty, Samuel W. K. Wong
doaj   +1 more source

Pulmonary Dysfunction Is Associated With Sleep Study Abnormalities in Children With Sickle Cell Disease: A Multicenter Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash   +4 more
wiley   +1 more source

A Mixture Integer-Valued Garch Model

open access: yesRevstat 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
doaj   +1 more source

Multidimensional Membership Mixture Models [PDF]

open access: yes, 2012
We present the multidimensional membership mixture (M3) models where every dimension of the membership represents an independent mixture model and each data point is generated from the selected mixture components jointly.
Jiang, Yun   +2 more
core  

The VampPrior Mixture Model

open access: yesCoRR
Widely used deep latent variable models (DLVMs), in particular Variational Autoencoders (VAEs), employ overly simplistic priors on the latent space. To achieve strong clustering performance, existing methods that replace the standard normal prior with a Gaussian mixture model (GMM) require defining the number of clusters to be close to the number of ...
Andrew Stirn, David A. Knowles
openaire   +3 more sources

Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright   +13 more
wiley   +1 more source

Uncovering the heterogeneity of a solar flare mechanism with mixture models

open access: yesFrontiers in Astronomy and Space Sciences
The physics of solar flares occurring on the Sun is highly complex and far from fully understood. However, observations show that solar eruptions are associated with the intense kilogauss fields of active regions, where free energies are stored with ...
Bach Viet Do   +4 more
doaj   +1 more source

STENSL: Microbial Source Tracking with ENvironment SeLection

open access: yesmSystems, 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
doaj   +1 more source

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim   +8 more
wiley   +1 more source

Hybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance

open access: yesCybernetics 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

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