搜索结果: 1-13 共查到“Multivariate Regression”相关记录13条 . 查询时间(0.093 秒)
Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
Adaptive Lasso Canonical Correlation Analysis Multivariate Regression
2016/1/25
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for pre...
Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
Adaptive Lasso Canonical Correlation Analysis Multivariate Regression Selection Consistency
2016/1/20
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for pre...
A MULTIVARIATE REGRESSION ANALYSIS FOR DERIVING ENGINEERING PARAMETERS OF EXPANSIVE SOILS FROM SPECTRAL REFLECTANCE
Expansive soils PLSR spectroscopy engineering parameters absorption feature parameters
2016/1/3
Soil expansiveness is a major problem that need due attention in geotechnical investigations. It can detrimentally influence performance and life time of lightweight engineering infrastructures. For t...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
linear regression multivariate statistics nitrogen NPS soil moisture spatial analysis visualization
2015/8/11
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
Application of multivariate regression methods to predict sensory quality of red wines
PLS regression sensory attributes phenolic parameters
2015/5/18
Several multivariate methods including partial least squares (PLS) regression, principal component regression (PCR) or multiple linear regression (MLR) have been applied to predict wine quality, based...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
NPS soil moisture spatial analysis visualization
2015/1/6
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
We propose a new method named calibrated multivariate regression (CMR) for fitting high dimensional multivariate regression models. Compared to existing methods, CMR calibrates the regularization for ...
A pseudo-RIP for multivariate regression
Multivariate regression Restricted Isometry Property
2011/7/6
We give a suitable RI-Property under which recent results for trace regression translate into strong risk bounds for multivariate regression. This pseudo-RIP is compatible with the setting $n < p$.
Recursive bias estimation for multivariate regression smoothers
nonparametric regression；smoother；kernel；thin-plate splines；stopping rules
2011/6/17
This paper presents a practical and simple fully nonparametric multivariate smooth-
ing procedure that adapts to the underlying smoothness of the true regression function. Our
estimator is easily co...
Effectiveness of phosphorus application in improving regional soybean Yields under drought stress: A multivariate regression tree analysis
Soybean yield variability phosphorus drought strategy threshold
2011/1/13
Scarcity of water often reduces the regional production of soybean (Glycine max (L.) Merr.) in many areas where it is grown. Contemporary climate change is characterized by increase in frequency and i...
We consider in this paper the multivariate regression problem, when the target regression matrix A is close to a low rank matrix. Our primary interest in on the practical case where the variance of th...
Union support recovery in high-dimensional multivariate regression
Union support recovery high-dimensional multivariate regression
2010/4/30
In the problem of multivariate regression, a K-dimensional response vector is regressed
upon a common set of p covariates, with a matrix B 2 RpK of regression
coecients. We study the behavior of ...
Large and moderate deviations principles for kernel estimators of the multivariate regression
Nadaraya-Watson estimator Recursive kernel estimator Large deviations principle Moderatedeviations principle
2010/4/27
In this paper, we prove large deviations principle for the
Nadaraya-Watson estimator and for the semi-recursive kernel
estimator of the regression in the multidimensional case.
Under suitable condi...
