Search Results - subject:"residual learning"

Inference on heterogeneous treatment effects in high-dimensional dynamic panels under weak dependence

Semenova, Vira; Goldman, Matt; Chernozhukov, Victor; … - In: Quantitative Economics 14 (2023) 2, pp. 471-510

This paper provides estimation and inference methods for conditional average treatment effects (CATE) characterized by a high-dimensional parameter in both homogeneous cross-sectional and unit-heterogeneous dynamic panel data settings. In our leading example, we model CATE by interacting the...

Persistent link: https://www.econbiz.de/10014536958

Inference on heterogeneous treatment effects in high-dimensional dynamic panels under weak dependence

Semenova, Vira; Goldman, Matt; Chernozhukov, Victor; … - In: Quantitative economics : QE ; journal of the … 14 (2023) 2, pp. 471-510

This paper provides estimation and inference methods for conditional average treatment effects (CATE) characterized by a high‐dimensional parameter in both homogeneous cross‐sectional and unit‐heterogeneous dynamic panel data settings. In our leading example, we model CATE by interacting...

Persistent link: https://www.econbiz.de/10014308573

Traffic flow prediction : a 3D adaptive multi-module joint modeling approach integrating spatial-temporal patterns to capture global features

Ul Abideen, Zain; Sun, Xiaodong; Sun, Chao - In: Journal of forecasting 43 (2024) 7, pp. 2766-2791

Persistent link: https://www.econbiz.de/10015110558

One-dimensional residual convolutional auto-encoder for fault detection in complex industrial processes

Yu, Jianbo; Liu, Xing - In: International journal of production research 60 (2022) 18, pp. 5655-5674

Persistent link: https://www.econbiz.de/10013500849