2 citations
- Emory UniversityUS3 papers
- Escuela Superior Politecnica del LitoralEC2 papers
- Austrian Institute of TechnologyAT1 paper
- Bank of CanadaCA1 paper
- Bureau of Economic AnalysisUS1 paper
- Capital One (United States)US1 paper
- Florida State UniversityUS1 paper
- Indiana University BloomingtonUS1 paper
- Laboratoire d’Économie d’OrléansFR1 paper
- Medical Research NetworkUS1 paper
- Mohamed bin Zayed University of Artificial IntelligenceAE1 paper
- Network Group (Czechia)CZ1 paper
4 papers
Regression with Observational Multilayered Network Data
Juan Estrada, Kim Huynh, David Jacho-Chavez +1
A novel method to estimate social effect coefficients in the popular so-called linear-in-means regression model in the Social Sciences is presented here that utilizes non-experimen…
Estimating Peer Influence in Multilayer Networks
Weihua An, Pablo Estrada, Juan Estrada +1
This paper proposes a model-based empirical method to identify influential individuals in risky behaviors. To determine the most influential individuals, we estimate peer influence…
Estimating Social Effects with Randomized and Observational Network Data
TszKin Julian Chan, Juan Estrada, Kim Huynh +3
This paper introduces an innovative approach to identifying and estimating the parameters of interest in the widely recognized linear-in-means regression model under conditions whe…
Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI
Timothée Schmude, Laura Koesten, Torsten Möller +1
Deploying AI systems in public institutions can have far-reaching consequences for many people, making it a matter of public interest. Providing opportunities for stakeholders to c…