A New Generalized Heterogeneous Data Model (GHDM) to Jointly Model Mixed Types of Dependent Variables
| 项目名称： | A New Generalized Heterogeneous Data Model (GHDM) to Jointly Model Mixed Types of Dependent Variables |
| 摘要： | This proposal formulates a generalized heterogeneous data model (GHDM) that jointly handles mixed types of dependent variables—including multiple nominal outcomes, multiple ordinal variables, and multiple count variables, as well as multiple continuous variables—by representing the covariance relationships among them through a reduced number of latent factors. Sufficiency conditions for identification of the GHDM parameters are presented. The maximum approximate composite marginal likelihood (MACML) method is proposed to estimate this jointly mixed model system. This estimation method provides computational time advantages since the dimensionality of integration in the likelihood function is independent of the number of latent factors. The study undertakes a simulation experiment within the virtual context of integrating residential location choice and travel behavior to evaluate the ability of the MACML approach to recover parameters. |
| 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 |
| 开始时间： | 20140301 |
| 预计完成日期： | 20150930 |
| 实际结束时间： | 20150930 |
| 主题领域： | Planning and Forecasting；Transportation (General) |
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