Bayesian inference
Bayesian inference in a quantitative genetic study of growth traits in Nelore cattle ( Bos indicus)
... The objective of this study was to estimate (co)variance components and genetic parameters for weights (W) and scrotal circumferences (SC) at 365 and 450 days of age, of Nelore (Bos indicus) cattle, using Bayesian ...
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Population parameters and selection of kale genotypes using Bayesian inference in a multi-trait linear model
... case, Bayesian inference can be advantageously used because it enables the calculation of the densities of the marginal posterior distributions and the credibility intervals of the variance components, ...
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Bayesian inference for the fitting of dry matter accumulation curves in garlic plants
... presented Bayesian inference was implemented in the R software (R Core Team, 2015), by the R2OpenBugs pack, in which the Gibbs sampler and the Metropolis–Hastings algorithms were ...
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Bayesian inference of mixed models in quantitative genetics of crop species
... 1971). Bayesian prediction of breeding values and genetic variances has been also largely employed (Sorensen 2009; Blasco ...and/or Bayesian inference have additional relevant applications in ...
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Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference
... Abstract – The objective of this work was to evaluate the criteria for the formation of contemporary groups (CGs) in the genetic evaluation of body weight at weaning in Nellore cattle. A total of 713,474 records from ...
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Estimate of genetic parameters for carcass traits and visual scores in meat sheep using Bayesian inference via threshold and linear models
... ABSTRACT: The aim of this study was to estimate the variance components and genetic parameters for marbling in the ribeye area (MRA) and body condition score (BCS) using Bayesian inference via mixed linear ...
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Selectivity curves of the capture of mangrove crab (Ucides cordatus) on the northern coast of Brazil using bayesian inference
... and Bayesian inference, the likelihood function is extremely important to provide sample ...the inference of a quantity of interest (θ) only depends on what was observed and not on what could have ...
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Bayesian inference on field data for genetic parameters for some reproductive and related traits of Nellore cattle ( Bos indicus)
... Bayesian methods have recently emerged as an op- tion for solving problems related to the evaluation of ge- netic merit in animal populations. Markov Chain Monte Carlo (MCMC) methods, including Gibbs Sampling may ...
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Bayesian inference for two-parameter gamma distribution assuming different noninformative priors
... where α > 0 and β > 0 are unknown shape and scale parameters, respectively. There are many papers considering Bayesian inference for the estimation of the Gamma parameters. Son & Oh (2006) assume ...
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Genetic parameters for five traits in Africanized honeybees using Bayesian inference
... Heritability and genetic correlations for honey (HP) and propolis production (PP), hygienic behavior (HB), syrup- collection rate (SCR) and percentage of mites on adult bees (PMAB) of a population of Africanized ...
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Adjustment of four growth models through Bayesian inference on weight and body nutrient depositions in laying quail
... From the data of body weight and body composition, four growth curves were obtained (Gompertz, Brody, Logistic, and Von Bertalanffy) to determine growth and deposition of body nutrients. Bayesian inference ...
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Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression.
... provides Bayesian inference within seconds even for large data ...to Bayesian HMM inference as long as the emission distributions come from the exponential family, imply- ing that conjugate ...
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Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle
... The aim of this study was to estimate the components of variance and genetic parameters for the visual scores which constitute the Morphological Evaluation System (MES), such as body structure (S), precocity (P) and ...
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Exact Bayesian inference for Markov switching Cox processes
... Identifiability is an intrinsic issue when performing inference for Poisson processes. Reliable estimates require a minimum amount of information which is positively related to the number of events observed from ...
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Bayesian inference of the evolution of HBV/E.
... Median-joining network (MJN) analysis of this pool of genetically similar or even identical viral variants, which circulate all over sub-Saharan Africa, reveals a star-like topology, indicating a centralized origin of ...
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Efficient Bayesian inference for ARFIMA processes
... non/semi-parametric methods. These may be appropriate in many situations, where the exact form of the underlying process is unknown. However when a specific model form is known (or at least assumed) they tend to perform ...
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Sinocurculigo, a new genus of Hypoxidaceae from China based on molecular and morphological evidence.
... After Bayesian inference of the phylogeny, majority of consensus phylogeny trees demonstrated monophyly of hypoxid plant and the other families with a posterior probability of 64% (Figure ...
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Model Selection in Historical Research Using Approximate Bayesian Computation.
... the Bayesian statistical ...the Bayesian frame- work until recent years, even if it was formulated 200 years ago ...applying Bayesian statistics to non- trivial ...Approximate Bayesian ...
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Multi-scale inference of interaction rules in animal groups using Bayesian model selection.
... using Bayesian inference to perform model selection based on empirical data at a detailed individual ...a Bayesian framework specifically to allow fair comparison between competing models of varying ...
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Inference of cross-level interaction between genes and contextual factors in a matched case-control metabolic syndrome study: a Bayesian approach.
... a Bayesian generalized linear mixed-effects model with an unconditional likelihood, we investigate whether the individual genetic effect is modified by the group-level residential environment factor in a matched ...
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