DOIAbstract
This research data relates to the article of "An adaptive least angle regression method for uncertainty quantification in FDTD computation of the human body
This research data relates to the article of "An adaptive least angle regression method for uncertainty quantification in FDTD computation of the human body
The Adaptive Least Squares Correlation is a very potent and flexible technique for all kinds of data...
This paper develops a method of adaptive modeling that may be applied to forecast non-stationary tim...
Uncertainty often exists in the process of obtaining measurement data, which affects the reliability...
This research data relates to the article of "An adaptive least angle regression method for uncertai...
The nonintrusive polynomial chaos expansion method is used to quantify the uncertainty of a stochast...
Least Angle Regression(LARS)is a variable selection method with proven performance for cross-section...
We propose inference tools for least angle regression and the lasso, from the joint distribution of ...
This research data relates to the article of "A statistical parsimony method for uncertainty quantif...
Wc have developed a maximum likelihood method to estimate a set of data uncertainty adjustment param...
The subject of this thesis is the study of the least squares method with uncertain (approximate, imp...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
We develop a general methodology for tilting time series data. Attention is focused on a large class...
This paper presents and evaluates an adaptive linear regression model for the prediction of unknown ...
This paper presents a new type of improved least-squares (ILS) algorithm for adaptive parameter esti...
Abstract The article studies the least squares method and its application for estimating measuremen...
The Adaptive Least Squares Correlation is a very potent and flexible technique for all kinds of data...
This paper develops a method of adaptive modeling that may be applied to forecast non-stationary tim...
Uncertainty often exists in the process of obtaining measurement data, which affects the reliability...
This research data relates to the article of "An adaptive least angle regression method for uncertai...
The nonintrusive polynomial chaos expansion method is used to quantify the uncertainty of a stochast...
Least Angle Regression(LARS)is a variable selection method with proven performance for cross-section...
We propose inference tools for least angle regression and the lasso, from the joint distribution of ...
This research data relates to the article of "A statistical parsimony method for uncertainty quantif...
Wc have developed a maximum likelihood method to estimate a set of data uncertainty adjustment param...
The subject of this thesis is the study of the least squares method with uncertain (approximate, imp...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
We develop a general methodology for tilting time series data. Attention is focused on a large class...
This paper presents and evaluates an adaptive linear regression model for the prediction of unknown ...
This paper presents a new type of improved least-squares (ILS) algorithm for adaptive parameter esti...
Abstract The article studies the least squares method and its application for estimating measuremen...
The Adaptive Least Squares Correlation is a very potent and flexible technique for all kinds of data...
This paper develops a method of adaptive modeling that may be applied to forecast non-stationary tim...
Uncertainty often exists in the process of obtaining measurement data, which affects the reliability...
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