We propose a method of constructing regression trees within the framework of maximum likelihood. It inherits the backward fitting idea of classification and regression trees (CART) but has more rigorous justification. Simulation studies show that it provides more accurate tree model selection compared to CART. The analysis of a baseball dataset is given as an illustration
Classification and regression trees (CART) are nonparametric and nonlinear modeling techniques that ...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
[[abstract]]Major League Baseball of the USA is considered the most competitive and challenging aren...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
Classification and regression trees (CART) are nonparametric and nonlinear modeling techniques that ...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
We propose a method of constructing regression trees within the framework of maximum likelihood. It ...
Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
Conference PaperIn this paper we challenge three of the underlying principles of CART, a well know a...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
[[abstract]]Major League Baseball of the USA is considered the most competitive and challenging aren...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
Title: Regression trees Author: Aleh Masaila Department: Department of Probability and Mathematical ...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
Classification and regression trees (CART) are nonparametric and nonlinear modeling techniques that ...
This paper proposes a regression tree methodology that considers the relationships among variables b...
This paper proposes a regression tree methodology that considers the relationships among variables b...
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