Statistical Methods and Inference

Statistical Methods and Inference is a research topic within Statistics and Probability. Science Explorer counts 39k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

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.

• Regularization
• Variable Selection
• Lasso
• Model Selection
• High-Dimensional Data
• Sparse Models
• Covariance Estimation
• Survival Analysis
• Random Forests
• Bayesian Methods