Results 1 to 10 of about 1,906,785 (292)
Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle [PDF]
Animals, 2021 Body weight (BW) is an important longitudinal trait that directly described the growth gain of bovine in production. However, previous genome-wide association study (GWAS) mainly focused on the single-record traits, with less attention paid to ...
Lili Du +9 more
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A Random Regression Model Based on a Single-Step Method for Improving the Genomic Prediction Accuracy of Residual Feed Intake in Pigs [PDF]
Frontiers in Genetics, 2022 Residual feed intake (RFI) is considered as a measurement of feed efficiency, which is greatly related to the growth performance in pigs. Daily feeding records can be obtained from automatic feeders.
Ye Wang +11 more
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Journal of New Theory, 2022 Multivariate Adaptive Regression Splines (MARS) is a supervised learning model in machine learning, not obtained by an ensemble learning method. Ensemble learning methods are gathered from samples comprising hundreds or thousands of learners that serve ...
Mehmet Ali Cengiz, Dilek Sabancı
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Model-based random forests for ordinal regression [PDF]
The International Journal of Biostatistics, 2020 AbstractWe 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 evaluated in the ...
Buri, Muriel, Hothorn, Torsten
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Italian Journal of Animal Science, 2021 Genetic parameters of litter size (LS) and number of kids born alive (NBA) were estimated across parities in Florida and Payoya goat breeds using a threshold random regression model (RRM).
Chiraz Ziadi +5 more
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Journal of Dairy Science, 2023 : The shape of the lactation curve is linked to an animal's health, feed requirements, and milk production throughout the year. Random regression models (RRM) are widely used for genetic evaluation of total milk production throughout the lactation and ...
M. Arnal +3 more
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Estimation of genetic parameters and trends for production traits of dairy cattle in Thailand using a multiple-trait multiple-lactation test day model [PDF]
Asian-Australasian Journal of Animal Sciences, 2020 Objective The objective of this study was to estimate the genetic parameters and trends for milk, fat, and protein yields in the first three lactations of Thai dairy cattle using a 3-trait,-3-lactation random regression test-day model.
Sayan Buaban +3 more
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Genetic Analysis of Persistency for Milk Fat Yield in Iranian Buffaloes (Bubalus bubalis)
Frontiers in Genetics, 2021 This study aimed to estimate heritabilities and genetic trends for different persistency measures for milk fat yield and their genetic correlations with 270-day milk yield in Iranian buffaloes.
Mohammad Ali Nazari +3 more
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Age-dependent genetic and environmental variance of semen quality in Nordic Holstein bulls
Journal of Dairy Science, 2023 : The aim of this study was to estimate genetic and environmental parameters, across bull's age, for semen quality traits including pre- and postcryopreservation semen concentration, sperm motility, and sperm viability as well as ejaculate volume and ...
Y. Salimiyekta +3 more
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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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