Results 21 to 30 of about 1,828,929 (311)
Simple reparameterization to improve convergence in linear mixed models
Acta Agriculturae Slovenica, 2010 Slow convergence and mixing are one of the main problems of Markov chain Monte Carlo (McMC) algorithms applied to mixed models in animal breeding. Poor convergence is to a large extent caused by high posterior correlation between variance components and ...
Gregor GORJANC +3 more
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Ecosphere, 2020 Understanding potential limitations to tree regeneration is essential as rates of tree mortality increase in response to direct (extreme drought) and indirect (bark beetle outbreaks, wildfire) effects of a warming climate.
Robert A. Andrus +3 more
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Posterior-based proposals for speeding up Markov chain Monte Carlo [PDF]
Royal Society Open Science, 2019 Markov chain Monte Carlo (MCMC) is widely used for Bayesian inference in models of complex systems. Performance, however, is often unsatisfactory in models with many latent variables due to so-called poor mixing, necessitating the development of ...
C. M. Pooley +3 more
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Movement Patterns and Match Statistics in the National Rugby League Women's (NRLW) Premiership
Frontiers in Sports and Active Living, 2021 As women's rugby league grows, the need for understanding the movement patterns of the sport is essential for coaches and sports scientists. The aims of the present study were to quantify the position-specific demographics, technical match statistics ...
Tim Newans +7 more
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Bayes factor between Student
Genetics Selection Evolution, 2008 The implementation of Student t mixed models in animal breeding has been suggested as a useful statistical tool to effectively mute the impact of preferential treatment or other sources of outliers in field data. Nevertheless, these additional sources of
García-Cortés Luis +3 more
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Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2021 Genome-wide association study (GWAS) has become a widely accepted strategy for decoding genotype phenotype associations in many species thanks to advances in next-generation sequencing (NGS) technologies.
Syed F.A. GILLANI +7 more
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Bernoulli, 2001 The author studies system lifetimes that are associated with a cumulative shock model as follows: The system fails when the cumulative damage exceeds some threshold, or when a single large shock occurs. \textit{H. Li} and the reviewer [Stochastic Processes Appl. 58, No. 2, 205-216 (1995; Zbl 0833.60088); Appl. Probab. 34, No.
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Invited review: A review of some commonly used meta-analysis methods in dairy science research
Journal of Dairy Science: Meta-analyses have become increasingly common, providing meaningful summaries of cumulative knowledge in the dairy science literature. Some of the corresponding meta-analytic techniques have been developed by knowledgeable dairy scientists, some of ...
R.J. Tempelman
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Frontiers in Genetics, 2019 While many association studies exist that have attempted to relate genomic markers to phenotypic performance in cattle, very few have considered gestation length as a phenotype, and of those that did, none used whole genome sequence data from multiple ...
Deirdre C. Purfield +3 more
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Functional Additive Mixed Models [PDF]
Journal of Computational and Graphical Statistics, 2015 26 pages, 8 ...
Scheipl, Fabian +2 more
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