L Kurt Kreuger
Biographic Data
| ID | 4270677 |
|---|---|
| NAME | L Kurt Kreuger |
| GIVEN NAMES | L Kurt |
| FAMILY NAME | Kreuger |
| SIGNATURE | KREUGER L K |
| AFFILIATIONS | University of Michigan |
| ORCID | 0000-0002-7163-564X |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Agent-Based Models for Assessing Complex Statistical Models
Although agent-based models (ABMs) have been increasingly accepted in social sciences as a valid tool to formalize theory, propose mechanisms able to recreate regularities, and guide empirical research, we are not aware of any research using ABMs to assess the robustness of our statistical methods. We argue that ABMs can be extremely helpful to assess models when the phenomena under study are complex. As an example, we create an ABM to evaluate t…
Agent-Based Models for Assessing Complex Statistical Models
Although agent-based models (ABMs) have been increasingly accepted in social sciences as a valid tool to formalize theory, propose mechanisms able to recreate regularities, and guide empirical research, we are not aware of any research using ABMs to assess the robustness of our statistical methods. We argue that ABMs can be extremely helpful to assess models when the phenomena under study are complex. As an example, we create an ABM to evaluate t…
Agent-Based Models for Assessing Complex Statistical Models
Although agent-based models (ABMs) have been increasingly accepted in social sciences as a valid tool to formalize theory, propose mechanisms able to recreate regularities, and guide empirical research, we are not aware of any research using ABMs to assess the robustness of our statistical methods. We argue that ABMs can be extremely helpful to assess models when the phenomena under study are complex. As an example, we create an ABM to evaluate t…
Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · COVID-19 epidemiological studies (1 work) · Crime Patterns and Interventions (1 work) · Data science (1 work) · Econometrics (1 work) · Machine learning (1 work) · Mathematics (1 work) · Mental Health Research Topics (1 work)