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Targeting predictors in random forest regression [PDF]
International Journal of Forecasting, 2023 Random forest regression (RF) is an extremely popular tool for the analysis of high-dimensional data. Nonetheless, its benefits may be lessened in sparse settings due to weak predictors, and a pre-estimation dimension reduction (targeting) step is required. We show that proper targeting controls the probability of placing splits along strong predictors,
Daniel Borup +3 more
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LOGISTIC REGRESSION WITH RANDOM COEFFICIENTS [PDF]
ETS Research Report Series, 1993 ABSTRACTAn approximation to the likelihood for the generalized linear models with random coefficients is derived and is the basis for an approximate Fisher scoring algorithm. The method is illustrated on the logistic regression model for one‐way classification, but it has an extension to the class of generalized linear models and to more complex data ...
openaire +1 more source
Journal of Dairy Science, 2023 : Residual feed intake is viewed as an important trait in breeding programs that could be used to enhance genetic progress in feed efficiency. In particular, improving feed efficiency could improve both economic and environmental sustainability in the ...
R.B. Stephansen +20 more
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The PX-EM algorithm for fast stable fitting of Henderson's mixed model
Genetics Selection Evolution, 2000 This paper presents procedures for implementing the PX-EM algorithm of Liu, Rubin and Wu to compute REML estimates of variance covariance components in Henderson's linear mixed models.
Van Dyk David A, Foulley Jean-Louis
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Revista Brasileira de Zootecnia, 2009 Os objetivos com este estudo foram verificar a presença de interação genótipo-ambiente e comparar modelos para o ajuste do ganho pós-desmama padronizado para 345 dias de bovinos da raça Devon, via normas de reação obtidas por regressão aleatória.
Marcela Bicca Bragança Corrêa +2 more
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Journal of Applied Animal Research, 2019 Genetic and permanent environmental correlations between milk yield and somatic cell score (SCS) were estimated. The data set used in this analyse contained a total of 204,438 test-day (TD) observations of milk yield and SCS from 22,903 primiparous ...
Khabat Kheirabadi
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Revista Brasileira de Zootecnia, 2008 Com o objetivo de estimar parâmetros genéticos para a produção de leite no dia do controle (PLDC), foram usadas as 2.440 primeiras lactações de vacas da raça Gir leiteira, com partos registrados entre 1990 e 2005.
Luis Gabriel González Herrera +4 more
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Genetic evaluation of daily gains of dual-purpose bulls using a random regression model
Czech Journal of Animal Science, 2008 Daily gains of 8 243 dual-purpose bulls from 100 to 400 days of age during the years 1971 to 2007 were analyzed by random regression models. Orthogonal Legendre polynomials (LP) of degree 4 were applied to daily gains calculated at 30-day intervals over ...
H. Krejčová +4 more
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Trajectory of body weight of performance tested dual-purpose bulls
Czech Journal of Animal Science, 2007 6 508 bulls of dual-purpose cattle at performance-test stations were weighed at intervals of 30 days from birth to 420 days. After all editing a total of 74 558 weight records were available.
J. Přibyl +5 more
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Estimating linear functionals in nonlinear regression with responses missing at random [PDF]
, 2009 We consider regression models with parametric (linear or nonlinear) regression function and allow responses to be ``missing at random.'' We assume that the errors have mean zero and are independent of the covariates.
Müller, Ursula U.
core +4 more sources