Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis
用于协变量依赖谱分析的自适应贝叶斯树和模型
This article introduces a flexible and adaptive nonparametric method for estimating the association between multiple covariates and power spectra of multiple time series. The proposed approach uses a Bayesian sum of trees model to capture complex dependencies and interactions between covariates and the power spectrum, which are often observed in studies of biomedical time series. Local power spectra corresponding to terminal nodes within trees are estimated nonparametrically…