Physical Sciences → Mathematics → Statistics and Probability
Statistical Methods and Inference
This cluster of papers focuses on regularization and variable selection methods, particularly in the context of high-dimensional data analysis. It covers topics such as Lasso, model selection, sparse models, covariance estimation, survival analysis, random forests, and Bayesian methods.
87.9K works worldwide1.9M citations
RegularizationVariable SelectionLassoModel SelectionHigh-Dimensional DataSparse ModelsCovariance EstimationSurvival AnalysisRandom ForestsBayesian Methods
Journals publishing in this area
7
Journal of the Royal Statistical Society Series B (Statistical Methodology)
ISSN 1369-74121,128 articles in this topic
307h-index
1.61Impact
4.2KArticles
739.3KCitations

.jpg)