= Peter Green (statistician)
{wiki=Peter_Green_(statistician)}
Peter Green is a prominent statistician known for his contributions to Bayesian statistics and machine learning. He has made significant advancements in statistical methods, particularly in the development of Bayesian nonparametric methods. One of his notable contributions is the work on Dirichlet Process and its applications in various fields, including genetics, social science, and econometrics. Throughout his career, Green has published numerous research papers and articles that have influenced the way Bayesian methods are applied in practical scenarios.
Back to article page