Results 11 to 20 of about 17,239,975 (301)
Prior elicitation and variable selection for bayesian quantile regression [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Bayesian subset selection suffers from three important difficulties: assigning priors over model space, assigning priors to all components of the regression
Al-Hamzawi, Rahim Jabbar Thaher
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Model-based random forests for ordinal regression [PDF]
The International Journal of Biostatistics, 2020 Abstract We study and compare several variants of random forests tailored to prognostic models for ordinal outcomes. Models of the conditional odds function are employed to understand the various random forest flavours. Existing random forest variants for ordinal outcomes, such as Ordinal Forests and Conditional Inference Forests, are
Buri, Muriel, Hothorn, Torsten
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Random partition models with regression on covariates [PDF]
Journal of Statistical Planning and Inference, 2010 Many recent applications of nonparametric Bayesian inference use random partition models, i.e. probability models for clustering a set of experimental units. We review the popular basic constructions. We then focus on an interesting extension of such models.
Muellner, Peter, Quintana, Fernando
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Random effects regression trees for the analysis of INVALSI data [PDF]
, 2021 Mixed or multilevel models exploit random effects to deal with hierarchical data, where statistical units are clustered in groups and cannot be assumed as independent.
Carla Rampichini +7 more
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Genetic Aspects of Somatic Cell Count in Holstein Dairy Cows in Iran
Animals, 2021 The aim of this study was to estimate the genetic parameters of somatic cell count (SCC) and its relationship with production traits in the first three parities in Iranian Holstein dairy cows.
Hadi Atashi, Miel Hostens
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A random regression model for total litter weight in mice. [PDF]
J Anim SciAbstract Measuring litter weight (LW) as a summary trait in multiparous animal species is less cost-intensive than individual birth weight. We propose a random regression model for total LW, where the genetic effects of dams and sires are modeled as linear random regression slopes on litter size with potentially different variances ...
Jahnel RE, Langhammer M, Reinsch N.
europepmc +3 more sources
Group Testing Regression Models with Fixed and Random Effects [PDF]
Biometrics, 2009 SummaryGroup testing, where subjects are tested in pools rather than individually, has a long history of successful application in infectious disease screening. In this article, we develop group testing regression models to include covariate effects that are best regarded as random.
Chen, Peng +2 more
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A-optimal design of quadratic random coefficient regression model
上海师范大学学报. 自然科学版, 2017 A-optimal identical design of quadratic random coefficient regression model on the design domain of [0,1] is constructed in this paper.Loewner order character of A-optimal criterion is proved in the paper and it is proved that A-optimal identical design ...
Cheng Jing, Yue Rongxian
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Goodness of Fit Tests in Random Coefficient Regression Models [PDF]
Annals of the Institute of Statistical Mathematics, 1999 Random coefficient regressions have been applied in a wide range of fields, from biology to economics, and constitute a common frame for several important statistical models. A nonparametric approach to inference in random coefficient models was initiated by Beran and Hall.
Delicado, Pedro, Romo, Juan
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A Bayesian Genomic Regression Model with Skew Normal Random Errors
G3: Genes, Genomes, Genetics, 2018 Genomic selection (GS) has become a tool for selecting candidates in plant and animal breeding programs. In the case of quantitative traits, it is common to assume that the distribution of the response variable can be approximated by a normal ...
Paulino Pérez-Rodríguez +5 more
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