Handbook of Mixture Analysis

Discover the essential resource for researchers and practitioners with the Handbook of Mixture Analysis by Sylvia Frühwirth-Schnatter. Published by Taylor & Francis Ltd in 2020, this comprehensive guide spans 524 pages, offering an in-depth exploration of the methods and applications in the vital field of mixture analysis. Dive into a diverse range of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, and hidden Markov models. The handbook also highlights practical applications in finance and genomics, making it an invaluable reference for those working with high-dimensional data. Enhance your understanding and skills in mixture analysis with this authoritative text, perfect for both newcomers and seasoned experts alike.