Results 31 to 40 of about 12,789,297 (308)
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
doaj +1 more source
Mixed-effects model results. [PDF]
, 2016 In (a), the models study the effect of session length on the quality of the first comment C1 in a session; i.e., data only contains the first session comments.
Farshad Kooti (3080265) +4 more
core +1 more source
Models of neutrino masses and mixings
New Journal of Physics, 2004 We review theoretical ideas, problems and implications of neutrino masses and mixing angles. We give a general discussion of schemes with three light neutrinos. Several specific examples are analyzed in some detail, particularly those that can be embedded into grand unified theories.
FERUGLIO, FERRUCCIO, G. ALTARELLI
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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.
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source