Bayesian Nonparametric Predictive Modeling for Personalized Treatment Selection

DOI10.1007/978-3-031-16427-9_10OpenAlexW4312403853MaRDI QIDQ6130519

Francesco C. Stingo, Raffaele Argiento, Matteo Pedone

Publication date: 3 April 2024

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-16427-9_10

zbMATH Keywords

model-based clusteringproduct partition modelsnonparametric Bayespersonalized medicine

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Empirical decision procedures; empirical Bayes procedures (62C12)

Cites Work

• Unnamed Item
• Calibrating covariate informed product partition models
• Bayesian nonparametric data analysis
• Cluster‐Specific Variable Selection for Product Partition Models
• Bayesian personalized treatment selection strategies that integrate predictive with prognostic determinants
• Bayesian predictive modeling for genomic based personalized treatment selection

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