3 papers
stat.ME2025
Supervised Integrative Biclustering with applications to Alzheimer's Disease
Kaifeng Yang, Thierry Chekouo, Sandra E. Safo
Multiple types or views of data (e.g. genetics, proteomics) measured on the same set of individuals are now popularly generated in many biomedical studies. A particular interest mi…
stat.ME2025
A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
Aidan Neher, Apostolos Stamenos, Mark Fiecas +2
Integrating high-dimensional, heterogeneous data from multi-site cohort studies with complex hierarchical structures poses significant feature selection and prediction challenges.…
stat.AP2025
Bayesian variable selection using an informed reversible jump in imaging genetics: an application to schizophrenia
Djidenou Montcho, Daiane Zuanetti, Thierry Chekouo +1
From a practical perspective, proposals are one of the main bottleneck for any Markov Chain Monte Carlo (MCMC) algorithm. This paper suggests a novel data driven or informed propos…