Results 11 to 20 of about 7,640,907 (324)
Collaborative regression [PDF]
Biostatistics, 2014 13 pages, 4 ...
Gross, Samuel M., Tibshirani, Robert
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Journal of the American Statistical Association, 2021 Regression extremiles define a least squares analogue of regression quantiles. They are determined by weighted expectations rather than tail probabilities. Of special interest is their intuitive meaning in terms of expected minima and maxima. Their use appears naturally in risk management where, in contrast to quantiles, they fulfill the coherency ...
Abdelaati Daouia +2 more
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Engineering Proceedings, 2023 In any manufacturing setup, reaming operation is always prominent and present because of ever increasing demands for improved quality of the manufactured products. At the same time, new engineering materials make the process challenging. Further, reaming
M. C. Rakshith +2 more
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Journal of Water and Climate Change, 2023 Wetland has been substantially decreased by anthropogenic activities worldwide, requiring urgent conservation action. The present study aimed to analyze the effects of land use land cover change on wetland dynamics from 1992 to 2022 in Jimma City ...
Yifru Waktole Berkessa +7 more
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Turkish Journal of Forestry, 2021 In this study, cone production, altitude and growth characteristics (height, diameter at breast height and crown diameter) were related, and also some genetics parameters were estimated.
Durmuş Çetinkaya, Mahmut Çerçioğlu
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Branch and bound method for regression-based controlled variable selection [PDF]
, 2013 Self-optimizing control is a promising method for selection of controlled variables (CVs) from available measurements. Recently, Ye, Cao, Li, and Song (2012) have proposed a globally optimal method for selection of self-optimizing CVs by converting the ...
Cao, Yi, Kariwala, Vinay, Ye, Lingjian
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, 2011 The solution of a TU cooperative game can be a distribution of the value of the grand coalition, i.e. it can be a distribution of the payo (utility) all the players together achieve.
A. Chevan +17 more
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Nonparametric regression analysis [PDF]
, 2015 textNonparametric regression uses nonparametric and flexible methods in analyzing complex data with unknown regression relationships by imposing minimum assumptions on the regression function.
Malloy, Shuling Guo
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Better subset regression [PDF]
, 2013 To find efficient screening methods for high dimensional linear regression models, this paper studies the relationship between model fitting and screening performance.
Xiong, Shifeng
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Bandwidth Selection in Nonparametric Regression with Large Sample Size
Proceedings, 2018 In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures +2 more
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