On Accommodating Spatial Interactions in a Generalized Heterogeneous Data Model (GHDM) of Mixed Types of Dependent Variables
| 项目名称： | On Accommodating Spatial Interactions in a Generalized Heterogeneous Data Model (GHDM) of Mixed Types of Dependent Variables |
| 摘要： | Multi-dimensional dependent outcome models are of interest in several fields, including land-use and transportation, biology, finance, and econometrics, just to name a few. The primary motivation for modeling dependent outcomes jointly is that there may be common underlying unobserved factors (attitudes, values, and lifestyle factors) of decision-makers that impact multiple dependent outcomes simultaneously. Even as there has been increasing emphasis on mixed data outcome modeling, there also has been a growing interest in accommodating spatial (and social) dependency effects among decision-makers in mixed data modeling. This is because spatial/social interactions can be exploited by decision-makers to achieve desired system end-states. In the current project, the use of important insight that the analyst can generate spatial dependence across multiple and mixed outcomes by specifying spatial dependence in the �soft� psychological construct (latent) variables underlying the many outcomes. |
| 状态： | Completed |
| 资金： | 20000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Bhat, Chandra R |
| 执行机构： | Data-Supported Transportation Operations and Planning Center |
| 主要研究人员： | Bhat, Chandra R |
| 开始时间： | 20150101 |
| 预计完成日期： | 20151231 |
| 实际结束时间： | 20151231 |
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