Bayesian statistics is a branch of statistics that incorporates prior knowledge or beliefs into the analysis of data. This approach differs from traditional frequentist statistics, which relies solely on the data at hand for inference. In Bayesian statistics, prior beliefs are updated in light of new data using Bayes' theorem to make inferences about the parameters of interest. This allows for a more flexible and intuitive way of incorporating uncertainty and subjective belief into statistical analysis. Bayesian statistics is widely used in a variety of fields, including machine learning, economics, and psychology.