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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...
Nonsingular subsampling for S-estimators with categorical predictors
Nonsingular subsampling S-estimators categorical predictors
2012/9/18
An integral part of many algorithms for S-estimators of linear regression is random subsam-pling. For problems with only continuous predictors simplerandom subsampling is a reliable method to generate...
This note introduces the method of cross-conformal prediction, which is a hybrid of the methods of inductive conformal prediction and cross-validation, and studies its validity and predictive eciency...
Some results on random design regression with long memory errors and predictors
memory errors predictors random design
2011/3/24
This paper studies nonparametric regression with long memory (LRD) errors and predictors. First, we formulate general conditions which guarantee the standard rate of convergence for a nonparametric ke...
Predictors of short-term decay of cell phone contacts in a large scale communication network
edge persistence edge decay link prediction dynamic networks embeddedness tie strength weighted networks
2011/3/25
Under what conditions is an edge present in a social network at time t likely to decay or persist by some future time t + Delta(t)? Previous research addressing this issue suggests that the network ra...
Kink estimation in stochastic regression with dependent errors and predictors
Change point Kink High-order kernel Zero-crossing technique Long-range dependence Random Design Separationrate lemma
2010/3/11
In this article we study the estimation of the location of jump
points in the first derivative (referred to as kinks) of a regression function
μ in two random design models with different long-range...
An Active Set Algorithm to Estimate Parameters in Generalized Linear Models with Ordered Predictors
ordered explanatory variable constrained estimation least squares logistic regression Coxregression active set algorithm
2010/3/18
In biomedical studies, researchers are often interested in assessing the association between one or more ordinal explanatory variables and an outcome variable, at the same time adjusting for covariate...
INFORMATION INEQUALITIES FOR THE BAUES RISK OF PREDICTORS
Prediction Bayes risk information inequality
2009/9/18
The paper provides several lower bounds and an upper
bound for the Bayes risk in statistical prediction theory. The bounds
depend on the Fisher information or the bias of the Bayes predictor.
The r...
Improvement on the Best Equivariant Predictors under the Ordered Parameters
equivariant predictor location family ordered parameters scale family total positivity of order
2009/3/6
This paper treats a statistical prediction problem under the ordered parameters. An improvement on the best equivariant predictor is discussed for the location family and the scale family.
Sparse Conformal Predictors
LASSO LARS Sparsity Variable selection Regularization path Confidenceset
2010/3/18
Conformal predictors, introduced by Vovk et al. [16], serve to build prediction intervals
by exploiting a notion of conformity of the new data point with previously observed data.
In the present pap...