Nonparametric Bayesian statistics

Nonparametric Bayesian statistics is a branch of statistical theory that focuses on methods that do not assume a fixed number of parameters for a statistical model, allowing for flexibility in how the model can adapt to the data. Instead of specifying a predetermined form for the distribution or the underlying process, nonparametric Bayesian methods utilize infinite-dimensional models, which can grow in complexity as more data become available.