A fully Bayesian semi-parametric scalar-on-function regression (SoFR) with measurement error using instrumental variables
利用工具变量校正测量误差的全贝叶斯半参数标量对函数回归
Wearable devices such as the ActiGraph are now commonly used in health studies to monitor or track physical activity. This trend aligns well with the growing need to accurately assess the effects of physical activity on health outcomes such as obesity. When accessing the association between these device-based physical activity measures with health outcomes such as body mass index, the device-based data is considered functions, while the outcome is a scalar-valued. The…