Statistical Methods and Inference
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Scope of this subject
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.
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Research vocabulary
nonparametric regression; high-dimensional regression; bandwidth selection; sparse regression; right censoring; empirical likelihood; oracle property; penalized regression; semiparametric regression; sparse estimation; penalized likelihood; shrinkage estimation; adaptive estimation; semiparametric models; oracle inequalities; information criteria; adaptive LASSO; high-dimensional statistics; model selection criteria; Gaussian graphical models; Bayesian variable selection; group lasso; proportional hazards model; high-dimensional linear regression; partially linear models
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Numeric address and provenance
Morton address: 36108823002260533 · morton4x16-v1
Coordinates: (3, 26, 2613, 10136). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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