TY - RPRT
T1 - Discrete Discriminant analysis based on tree-structured graphical models
AU - Perez de la Cruz, Gonzalo
AU - Eslava, Guillermina
PY - 2016
Y1 - 2016
N2 - The purpose of this paper is to illustrate the potential use of discriminant analysis based on tree{structured graphical models for discrete variables. This is done by comparing its empirical performance using estimated error rates for real and simulated data. The results show that discriminant analysis based on tree{structured graphical models is a simple nonlinear method competitive with, and sometimes superior to, other well{known linear methods like those assuming mutual independence between variables and linear logistic regression.
AB - The purpose of this paper is to illustrate the potential use of discriminant analysis based on tree{structured graphical models for discrete variables. This is done by comparing its empirical performance using estimated error rates for real and simulated data. The results show that discriminant analysis based on tree{structured graphical models is a simple nonlinear method competitive with, and sometimes superior to, other well{known linear methods like those assuming mutual independence between variables and linear logistic regression.
M3 - Report
T3 - DTU Compute Technical Report-2016
BT - Discrete Discriminant analysis based on tree-structured graphical models
PB - Technical University of Denmark
CY - Kgs. Lyngby
ER -