The Math Statistics Lab for Learning Big and Complex Data at UCSD is led by Professor Jelena Bradic of the Department of Mathematics. The Lab designs new models and methods that can more efficiently assist in signal discovery, detection, estimation or testing than the current methods for high-dimensional and data with complex structure or dependency patterns. Lab expertise is in statistical learning, machine learning, ensemble learning, optimization, statistics, statistical efficiency and model selection.
