Results 71 to 80 of about 8,492,854 (308)
Mixture Semisupervised Bayesian Principal Component Regression for Soft Sensor Modeling
IEEE Access, 2018 In this paper, a mixture semisupervised Bayesian principal component regression-based soft sensor modeling method for nonlinear industrial process with multiple operating modes is presented. In many chemistry processes, part of output data samples may be
Pengbo Zhu +3 more
doaj +1 more source
Phylogenetic mixture models for proteins [PDF]
Philosophical Transactions of the Royal Society B: Biological Sciences, 2008 Standard protein substitution models use a single amino acid replacement rate matrix that summarizes the biological, chemical and physical properties of amino acids. However, site evolution is highly heterogeneous and depends on many factors: genetic code; solvent exposure; secondary and tertiary structure; protein function; etc ...
Le Si, Quang +2 more
openaire +3 more sources
The Use of Mixture Models in Capture-Recapture [PDF]
, 2015 Mixture models have been widely used to model heterogeneity. In this thesis, we focus on the use of mixture models in capture--recapture, for both closed populations and open populations. We provide both practical and theoretical investigations.
Yu, Chen
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Transitioning from pediatric to adult care is a high‐risk period for individuals with sickle cell disease (SCD). An initial observation at one academic medical center suggested a sex‐based disparity in clinic populations, prompting a national investigation.
Laurie J. Duckworth +5 more
wiley +1 more source
Frontiers in PsychiatryBackgroundAdolescents who contact psychological hotlines present with diverse problems and levels of risk. Recognizing common patterns quickly can help counselors match responses to need.
Zhihua Xie +6 more
doaj +1 more source
Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’
Acta Scientiarum. Agronomy, 2017 Citrus canker, caused by the bacterium Xanthomonas citri subsp. citri, is one of the most important diseases of citrus. The use of resistant genotypes plays an important role in the management and control of the disease and is the most environmentally ...
Danielle da Silva Pompeu +5 more
doaj +1 more source
Finite Mixtures of Generalized Linear Regression Models [PDF]
, 2007 Generalized linear models have become a standard technique in the statistical modelling toolbox for investigating relationships between variables.
Bettina Grün +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres +6 more
wiley +1 more source
REBayes: An R Package for Empirical Bayes Mixture Methods
Journal of Statistical Software, 2017 Models of unobserved heterogeneity, or frailty as it is commonly known in survival analysis, can often be formulated as semiparametric mixture models and estimated by maximum likelihood as proposed by Robbins (1950) and elaborated by Kiefer and Wolfowitz
Roger Koenker, Jiaying Gu
doaj +1 more source
, 2009 We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (Commun. Stat., Simul. Comput. 36:45–54, 2007).
Walker, S. +8 more
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