Ilsoon Yang
Biographic Data
| ID | 4168574 |
|---|---|
| NAME | Ilsoon Yang |
| GIVEN NAMES | Ilsoon |
| FAMILY NAME | Yang |
| SIGNATURE | YANG I |
| AFFILIATIONS | Harvard School of Public Health |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 1998 |
| H-INDEX | 2 |
Latent Class Marginal Models for Cross-Classifications of Counts
The standard latent class model is a finite mixture of indirectly observed multinomial distributions, each of which is assumed to exhibit statistical independence. Latent class analysis has been applied in a wide variety of research contexts, including studies of mobility, educational attainment, agreement, and diagnostic accuracy, and as measurement error models in social research. One of the attractive features of the latent class model in thes…
Specifications of Models for Cross-Classified Counts
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but it has been argued that in some cases, an alternative approach for formulating models-one based on simultaneously modeling univariate marginal logits and marginal associations-can lead to models that are more directly relevant for addressing the kinds of questions arising in those cases. In this article, the authors explore some of the similaritie…
Latent Class Marginal Models for Cross-Classifications of Counts
The standard latent class model is a finite mixture of indirectly observed multinomial distributions, each of which is assumed to exhibit statistical independence. Latent class analysis has been applied in a wide variety of research contexts, including studies of mobility, educational attainment, agreement, and diagnostic accuracy, and as measurement error models in social research. One of the attractive features of the latent class model in thes…
Specifications of Models for Cross-Classified Counts
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but it has been argued that in some cases, an alternative approach for formulating models-one based on simultaneously modeling univariate marginal logits and marginal associations-can lead to models that are more directly relevant for addressing the kinds of questions arising in those cases. In this article, the authors explore some of the similaritie…
Latent Class Marginal Models for Cross-Classifications of Counts
The standard latent class model is a finite mixture of indirectly observed multinomial distributions, each of which is assumed to exhibit statistical independence. Latent class analysis has been applied in a wide variety of research contexts, including studies of mobility, educational attainment, agreement, and diagnostic accuracy, and as measurement error models in social research. One of the attractive features of the latent class model in thes…
Specifications of Models for Cross-Classified Counts
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but it has been argued that in some cases, an alternative approach for formulating models-one based on simultaneously modeling univariate marginal logits and marginal associations-can lead to models that are more directly relevant for addressing the kinds of questions arising in those cases. In this article, the authors explore some of the similaritie…
Computer Science (2 works) · Econometrics (2 works) · Marginal model (2 works) · Mathematics (2 works) · Regression analysis (2 works) · Statistical model (2 works) · Statistics (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Axiom (1 works)