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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Multiclass Sparse Discriminant Analysis Incorporating Graphical Structure among Predictors
预测变量 图形结构 多类稀疏 判别分析
2023/5/9
In the era of big data, many sparse linear discriminant analysis methods have been proposed for the classification and variable selection of the high-dimensional data. In order to solve the multiclass...
On BIC's Selection Consistency for Discriminant Analysis
BIC Discriminant Analysis Selection Consistency
2016/1/19
Linear and quadratic discriminant analysis are two very useful classification methods, for which the problem of variable selection is of fundamental impor-tance. To this end, a BIC-type selection crit...
Fisher linear discriminant analysis (LDA) can be sensitive to the problem data. Robust Fisher LDA can systematically alleviate the sensitivity problem by explicitly incorporating a model of data uncer...
Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis
Asymptotic Generalization Bound Fisher's Linear Discriminant Analysis
2012/9/17
Fisher’s linear discriminant analysis (FLDA) is an important dimension reduction method in sta-tistical pattern recognition. It has been shown that FLDA is asymptotically Bayes optimal under the homos...
A Direct Estimation Approach to Sparse Linear Discriminant Analysis
Classification constrained l1-minimization Fisher’s rule
2011/7/19
This paper considers sparse linear discriminant analysis of high-dimensional data. In contrast to the existing methods which are based on separate estimation of the precision matrix $\O$ and the diffe...
Sparse linear discriminant analysis by thresholding for high dimensional data
Classification high dimensionality misclassification rate nor-mality optimal classification rule sparse estimates
2011/6/20
In many social, economical, biological and medical studies, one
objective is to classify a subject into one of several classes based on
a set of variables observed from the subject. Because the prob...
Introduction to discriminant analysis in the monotone experts model
Introduction to discriminant analysis the monotone experts model
2009/9/23
Introduction to discriminant analysis in the monotone experts model。
COMPARATIVE PERFORMANCE OF SEVERAL ROBUST LINEAR DISCRIMINANT ANALYSIS METHODS
discriminant analysis robustness MCD S-estimates M-estimates R
2009/2/25
The problem of the non-robustness of the classical estimates in the setting of the
quadratic and linear discriminant analysis has been addressed by many authors:
Todorov et al. [19, 20], Chork and R...