Results 21 to 30 of about 4,099,878 (253)
Default priors for density estimation with mixture models [PDF]
, 2010 The infinite mixture of normals model has become a popular method for density estimation problems. This paper proposes an alternative hierarchical model that leads to hyperparameters that can be interpreted as the location, scale and smoothness of the ...
Griffin, Jim E.
core +1 more source
Objective Bayesian hypothesis testing and estimation for the intraclass model
Statistical Theory and Related Fields, 2018 The intraclass correlation coefficient (ICC) plays an important role in various fields of study as a coefficient of reliability. In this paper, we consider objective Bayesian analysis for the ICC in the context of normal linear regression model. We first
Duo Zhang +4 more
doaj +1 more source
Mixtures of g-priors for Bayesian model averaging with economic applications [PDF]
, 2010 We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the ap- propriate subset.
Ley, Eduardo +2 more
core +1 more source
Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa
Methods in Ecology and Evolution, 2023 Predicting the taxonomic affiliation of DNA sequences collected from biological samples is a fundamental step in biodiversity assessment. This task is performed by leveraging existing databases containing reference DNA sequences endowed with a taxonomic ...
Alessandro Zito +2 more
doaj +1 more source
Reference priors for non-Normal two-sample problems [PDF]
Test, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernández, C., Steel, M.F.J.
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Statistical Theory and Related Fields, 2018 The Wiener process as a degradation model plays an important role in the degradation analysis. In this paper, we propose an objective Bayesian analysis for an acceleration degradation Wiener model which is subjected to measurement errors.
Daojiang He, Yunpeng Wang, Mingxiang Cao
doaj +1 more source
Reference priors for high energy physics [PDF]
Physical Review D, 2010 Bayesian inferences in high energy physics often use uniform prior distributions for parameters about which little or no information is available before data are collected. The resulting posterior distributions are therefore sensitive to the choice of parametrization for the problem and may even be improper if this choice is not carefully considered ...
Demortier, Luc +2 more
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Objective Bayesian Inference for Differential Effects in Unequal-Variance Two-Sample Normal Models
MathematicsIn this paper, we develop a unified objective Bayesian framework for inference on the differential effect in the unequal-variance two-sample normal model.
Sang Gil Kang, Yongku Kim
doaj +1 more source
Estimation of a Covariance Matrix Using the Reference Prior
The Annals of Statistics, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, Ruoyong, Berger, James O.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source