Advanced statistical methods involve techniques used to analyze complex data, often beyond basic descriptive or inferential statistics. These methods include multivariate analysis, time series analysis, Bayesian inference, and machine learning algorithms. They are employed to uncover patterns, make predictions, and infer relationships within large datasets. These approaches are essential in fields like economics, biology, engineering, and social sciences for data-driven decision-making.