 Statistical algorithms

Statistical algorithms are systematic methods used to analyze, interpret, and extract insights from data. These algorithms leverage statistical principles to perform tasks such as estimating parameters, making predictions, classifying data points, detecting anomalies, and testing hypotheses. The main goal of statistical algorithms is to identify patterns, relationships, and trends within data, which can then be used for decision-making, forecasting, and various applications across different fields including finance, healthcare, social sciences, and machine learning.