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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

1
Journal of the American Statistical Association
ISSN 0162-14593,975 articles in this topic
648h-index
2Statistics in Medicine cover
Statistics in Medicine
ISSN 0277-67153,624 articles in this topic
305h-index
3
The Annals of Statistics
ISSN 0090-53643,120 articles in this topic
318h-index
4Biometrika cover
Biometrika
ISSN 0006-34442,989 articles in this topic
361h-index
5Biometrics cover
Biometrics
ISSN 0006-341X2,585 articles in this topic
404h-index
6Journal of Econometrics cover
Journal of Econometrics
ISSN 0304-40761,510 articles in this topic
329h-index
7Journal of the Royal Statistical Society Series B (Statistical Methodology) cover
307h-index
8Technometrics cover
Technometrics
ISSN 0040-1706741 articles in this topic
500h-index
9Econometrica cover
Econometrica
ISSN 0012-9682421 articles in this topic
528h-index
10
Machine Learning
ISSN 0885-6125128 articles in this topic
260h-index