@inproceedings{0a24c65322af402196658deec0eed71b,
title = "Bayesian analysis of Amazon{\textquoteright}s best-selling books via finite nested mixture models",
keywords = "Common atoms model, Grouped data, Nested models, Finite Mixtures, Model-based clustering, Common atoms model, Grouped data, Nested models, Finite Mixtures, Model-based clustering",
author = "L. D{\textquoteright}Angelo and Francesco Denti",
year = "2023",
language = "English",
isbn = "9788891935618AAVV",
pages = "1117--1120",
booktitle = "Book of the Short Papers SEAS IN 2023",
note = "SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation ; Conference date: 21-06-2023 Through 23-06-2023",
}