Computational Statistics

Computational statistics is a branch of statistics that uses computer algorithms and numerical techniques to analyze and interpret data. It focuses on methods for performing complex statistical calculations that are often too difficult or time-consuming to do by hand. This includes simulations, resampling techniques, and fitting models to data. Essentially, computational statistics combines statistical theory with computer science to solve real-world problems, allowing researchers and analysts to draw meaningful conclusions from large datasets efficiently and accurately.