Steven L Scott
Datos Biográficos
| ID | 3757963 |
|---|---|
| NOMBRE | Steven L Scott |
| NOMBRES | Steven L |
| APELLIDO | Scott |
| FIRMA | SCOTT S L |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 2 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1993 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2015 |
| ÍNDICE H | 1 |
Inferring causal impact using Bayesian structural time-series models
An important problem in econometrics and marketing is to infer the causal impact that a designed market intervention has exerted on an outcome metric over time. This paper proposes to infer causal impact on the basis of a diffusion-regression state-space model that predicts the counterfactual market response in a synthetic control that would have occurred had no intervention taken place. In contrast to classical difference-in-differences schemes,…
Air Pollution in the Valley of Mexico
THE most rapidly growing large urban areas are now in less-developed countries. High fertility and declining mortality, development strategies, and substantial rural-to-urban migration produce vast urban areas with populations in excess of ten million. These megacities are marked by chronic housing shortages, unemployment, and inadequate social services, but less recognized and less studied is the environmental degradation often associated with t…
Air Pollution in the Valley of Mexico
THE most rapidly growing large urban areas are now in less-developed countries. High fertility and declining mortality, development strategies, and substantial rural-to-urban migration produce vast urban areas with populations in excess of ten million. These megacities are marked by chronic housing shortages, unemployment, and inadequate social services, but less recognized and less studied is the environmental degradation often associated with t…
Air Pollution in the Valley of Mexico
THE most rapidly growing large urban areas are now in less-developed countries. High fertility and declining mortality, development strategies, and substantial rural-to-urban migration produce vast urban areas with populations in excess of ten million. These megacities are marked by chronic housing shortages, unemployment, and inadequate social services, but less recognized and less studied is the environmental degradation often associated with t…
Inferring causal impact using Bayesian structural time-series models
An important problem in econometrics and marketing is to infer the causal impact that a designed market intervention has exerted on an outcome metric over time. This paper proposes to infer causal impact on the basis of a diffusion-regression state-space model that predicts the counterfactual market response in a synthetic control that would have occurred had no intervention taken place. In contrast to classical difference-in-differences schemes,…
Advanced Causal Inference Techniques (1 obras) · Air pollution (1 obras) · Air Quality and Health Impacts (1 obras) · Artificial Intelligence (1 obras) · Bayesian inference (1 obras) · Bayesian probability (1 obras) · Causal inference (1 obras) · Computer Science (1 obras) · Consumer Market Behavior and Pricing (1 obras) · Contrast (vision) (1 obras)