High-dimensional statistics

High-dimensional statistics studies analyzing data with many variables (features) compared to the number of observations. It addresses challenges like identifying meaningful patterns and making reliable predictions when traditional methods struggle due to the data's complexity. This field develops tools to extract insights, improve models, and prevent overfitting in situations such as genomics, finance, or image analysis, where the number of variables can be very large relative to the sample size.