Multivariate Bayesian variable selection with application to multi-trait genetic fine mapping
多变量贝叶斯变量选择及其多性状遗传精细定位应用
Variable selection has played a critical role in modern statistical learning and scientific discoveries. Numerous regularization and Bayesian variable selection methods have been developed in the past two decades for variable selection, but most of these methods consider selecting variables for only one response. As more data is being collected nowadays, it is common to analyze multiple related responses from the same study. Existing multivariate variable selection methods…