Results 1 to 10 of about 816,600 (166)
Covariance regression with random forests
BMC Bioinformatics, 2023 Capturing the conditional covariances or correlations among the elements of a multivariate response vector based on covariates is important to various fields including neuroscience, epidemiology and biomedicine.
Cansu Alakus +2 more
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Regression models and random effects [PDF]
Revista do Colégio Brasileiro de Cirurgiões, 2021 ÁLIDA ROSÁRIA SILVA FERREIRA
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Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population [PDF]
Frontiers in Genetics, 2020 The random regression test-day model has become the most commonly adopted model for routine genetic evaluations in dairy populations, which allows accurately accounting for genetic and environmental effects over lactation. The objective of this study was
Jianbin Li +9 more
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Modeling genetic components of hatch of fertile in broiler breeders
Poultry Science, 2021 Reproductive efficiency such as fertility and hatch of fertile (HoF) are of economic importance and concern to breeding companies becaue of their effects on chick output.
Bayode O. Makanjuola +2 more
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Panel Regression with Random Noise [PDF]
SSRN Electronic Journal, 2009 The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct consistent and asymptotically normal estimators.
Gerd Ronning, Hans Schneeweiss
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Ridgeless Regression with Random Features
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022 Recent theoretical studies illustrated that kernel ridgeless regression can guarantee good generalization ability without an explicit regularization. In this paper, we investigate the statistical properties of ridgeless regression with random features and stochastic gradient descent.
Jian Li 0040 +2 more
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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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Random projections for Bayesian regression [PDF]
Statistics and Computing, 2015 This article deals with random projections applied as a data reduction technique for Bayesian regression analysis. We show sufficient conditions under which the entire $d$-dimensional distribution is approximately preserved under random projections by reducing the number of data points from $n$ to $k\in O(\operatorname{poly}(d/\varepsilon))$ in the ...
Leo N. Geppert +4 more
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Heatmap Regression via Randomized Rounding [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 To appear in ...
Baosheng Yu, Dacheng Tao
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Random Design Analysis of Ridge Regression [PDF]
Foundations of Computational Mathematics, 2014 This work gives a simultaneous analysis of both the ordinary least squares estimator and the ridge regression estimator in the random design setting under mild assumptions on the covariate/response distributions. In particular, the analysis provides sharp results on the ``out-of-sample'' prediction error, as opposed to the ``in-sample'' (fixed design ...
Hsu, Daniel +2 more
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