3 papers
stat.ME2025
Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization
Blake Hansen, Dafne Zorzetto, Valeria Edefonti +1
Understanding the association between dietary patterns and health outcomes, such as the cancer risk, is crucial to inform public health guidelines and shaping future dietary interv…
stat.ME2025
Causal Inference for Latent Outcomes Learned with Factor Models
Jenna M. Landy, Dafne Zorzetto, Roberta De Vito +1
In many fields$\unicode{x2013}$including genomics, epidemiology, natural language processing, social and behavioral sciences, and economics$\unicode{x2013}$it is increasingly impor…
stat.AP2025
Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
Blake Hansen, Isabella N. Grabski, Giovanni Parmigiani +1
Mutational signatures are patterns of somatic mutations in tumor genomes that provide insights into underlying mutagenic processes and cancer origin. Developing reliable methods fo…