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Proceedings of the National Academy of Sciences, 2003 Markov random fields can encode complex probabilistic relationships involving multiple variables and admit efficient procedures for probabilistic inference. However, from a knowledge engineering point of view, these models suffer from a serious limitation.
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A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence [PDF]
, 2015 A bivariate copula mixed model has been recently proposed to synthesize diagnostic test accuracy studies and it has been shown that it is superior to the standard generalized linear mixed model in this context.
Aas K +41 more
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A mixed elastoplastic / rigid plastic material model [PDF]
, 1999 A new integration algorithm for plastic deformation is derived in combination with the\ud anisotropic Hill’49 yield criterion. The algorithm degenerates to the Euler forward elastoplastic material\ud model for small deformations and to the rigid plastic ...
Boogaard, A.H. van den +2 more
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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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Selection and Fitting of Mixed Models in Sugarcane Yield Trials
Agriculture, 2022 Mixed models are a useful tool for the analysis of sugarcane field trials in which sugarcane varieties are allocated in different locations and phenotypic traits are evaluated in the same experimental unit (plot) over time. One challenge to analyze these
Josafhat Salinas-Ruíz +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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Multi-trait selection in multi-environments for performance and stability in cassava genotypes
Frontiers in Plant Science, 2023 Genotype-environment interaction (GEI) presents challenges when aiming to select optimal cassava genotypes, often due to biased genetic estimates. Various strategies have been proposed to address the need for simultaneous improvements in multiple traits,
Juraci Souza Sampaio Filho +3 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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Bootstrapping Mixed Correlators in the 3D Ising Model [PDF]
, 2014 We study the conformal bootstrap for systems of correlators involving non-identical operators. The constraints of crossing symmetry and unitarity for such mixed correlators can be phrased in the language of semidefinite programming.
Kos, Filip +2 more
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Mixed-Domain Modeling in Modelica [PDF]
, 2006 Modelica is a language for convenient, component oriented modeling of physical systems. In this article, an overview of the language, available libraries, the Dymola simulator and some industrial applications is given. Additionally, a comparison of Modelica with VHDL-AMS is presented.
Clauss, Christoph +4 more
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