广义合成控制(Generalized Synthetic Control):政策评估的新方法 在经济学和社会科学的研究中,评估政策或干预措施的影响至关重要。传统的评估方法往往面临着选择偏差和反事实问题,难以准确测量政策的实际效果。**广义合成控制(Generalized Synthetic Control)**作为一种创新的评估技术,提供了一种系统化的方法来解决这些问题。
Y. Xu. Generalized synthetic control method: Causal inference with interactive fixed effects models. Political Analysis, 25(1), 2017.Yiqing Xu. Generalized synthetic control method: Causal inference with interactive fixed effects models. Political Analysis, 25(1):57-76, 2017....
political analysis ( ) generalized synthetic control method: causal inference with interactive fixed e ects models RM Alvarez,Y Xu 被引量: 0发表: 2019年 Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls In this paper, we investigate the use of interactive e陇ect or ...
gsynthimplements thegeneralized synthetic control method, which imputes counterfactuals for each treated unit using control group information based on a linear interactive fixed effects model. This version supports unbalanced panels and implements the matrix completion method. ...
Dependence of Saline-Induced Natriuresis upon Exposure of the Kidney to the Physical Effects of Extracellular Fluid Volume Expansion In many previous studies, the natriuresis induced by saline loading has been demonstrated to persist even though glomerular filtration rate (GFR) has been ... JP Fitz...
Taylor s expansion of a polynomial function by using synthetic division; 利用综合除法把多项式函数Taylor展开 2. The applications of synthetic divisions of ascending and reducing power in linear control system 升幂与降幂综合除法在线性控制系统中的应用 3. To give a general method on how to find th...
This method minimizes the effect of long-term drift on prediction errors and using the synthetic method eliminates the need for the expensive generation of new calibration samples [26]. The method is referred to as prediction-augmented classical least-squares (PACLS) and does not require that ...
Based on the Generalized Predictive Control (GPC) (Clarke, 1984a, 1984b) and the Recursive Generalized Predictive Self-tuning Controller (RGPC) (Yuan Zhu-zhi, 1986). A new self-tuning algorithm - Recursive Synthetic Generalized Predictive Self-tuning Controller (RSGPC) is advanced in this paper...
In this section, a direct performance optimization control method is proposed with a dual-rotor turbofan engine as the controlled plant whose schematic diagram has been shown in Fig. 5. The main components of the turbofan engine include an inlet, a fan, a compressor, a combustion chamber, a ...
Finally, we also present a new layer that can be attached to any deep learning model designed for unsupervised anomaly detection to transform it into an active anomaly detection method, presenting results on both synthetic and real anomaly detection datasets. 展开 ...