The dantzig selector for censored linear regression models [PDF]
Statistica Sinica, 2013 The Dantzig variable selector has recently emerged as a powerful tool for fitting regularized regression models. To our knowledge, most work involving the Dantzig selector has been performed with fully-observed response variables. This paper proposes a new class of adaptive Dantzig variable selectors for linear regression models when the response ...
Yi, Li, Lee, Dicker, Sihai Dave, Zhao
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Comparison of Some Estimators under the Pitman’s Closeness Criterion in Linear Regression Model
Journal of Applied Mathematics, 2014 Batah et al. (2009) combined the unbiased ridge estimator and principal components regression estimator and introduced the modified r-k class estimator.
Jibo Wu
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Bagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model
Kuwait Journal of ScienceThe existence of multicollinearity between independent variables and heteroscedastic error has a colossal impact on the performance of the ordinary least square (OLS) estimator and its covariance matrix.
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EFFECTIVENESS ANALYSIS OF WHEAT GROWTH USING ELEMENTS OF MATHEMATICAL MODELLING IN ECONOMICS
Наука Красноярья, 2015 Selective breeding results, quality of seeds and other factors have a significant impact on the efficiency of crops. Mathematical Modelling in Economics is being used to determine the impact of factors on the value of performance indicators,The aim of ...
Arthur Viktorovich Zamryga
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Data augmentation in Rician noise model and Bayesian Diffusion Tensor Imaging [PDF]
, 2014 Mapping white matter tracts is an essential step towards understanding brain function. Diffusion Magnetic Resonance Imaging (dMRI) is the only noninvasive technique which can detect in vivo anisotropies in the 3-dimensional diffusion of water molecules ...
Gasbarra, Dario, Liu, Jia, Railavo, Juha
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Length, Weight, and Yield in Channel Catfish, Lake Diane, MI [PDF]
, 2011 Background: Channel catfish (Ictalurus punctatus) are important to both commercial aquaculture and recreational fisheries. Little published data is available on length-weight relationships of channel catfish in Michigan.
Ashley Crowe +3 more
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Improved variable selection with Forward-Lasso adaptive shrinkage
, 2011 Recently, considerable interest has focused on variable selection methods in regression situations where the number of predictors, $p$, is large relative to the number of observations, $n$. Two commonly applied variable selection approaches are the Lasso,
James, Gareth M., Radchenko, Peter
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Empirical Tm modeling in the region of Guangxi
Geodesy and Geodynamics, 2012 This paper presents three strategies for modeling the regional empirical Tm (the weighted mean temperature of the atmosphere) to obtain more accurate determinations in a regional empirical model that is better adapted to the geographical and climatic ...
Liu Lilong, Yao Chaolong, Wen Hongyan
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Parameter Estimation of the Partially Linear Quantile Regression Model Under Monotonic Constraints
Journal of MathematicsThe paper brings forward the partially linear quantile regression model by incorporating monotonic constraints, which are common in real-world relationships between variables.
Shujin Wu +3 more
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Research on the prediction of bike sharing system’s demand based on linear regression model [PDF]
SHS Web of ConferencesThis research developed a model of linear regression for forecasting the demand for shared bikes in a bike sharing system. By analyzing a dataset sourced from Kaggle, the study focuses on identifying the factors that have the most impact on bike demand ...
Xu Zijie
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