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Estimating Simultaneous Equation Models through an Entropy-Based Incremental Variational Bayes Learning Algorithm
The presence of unaccounted heterogeneity in simultaneous equation models (SEMs) is frequently problematic in many real-life applications. Under the usual assumption of homogeneity, the model can be seriously misspecified, and it can potentially induce an important bias in the parameter estimates. T...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064307/ https://www.ncbi.nlm.nih.gov/pubmed/33805175 http://dx.doi.org/10.3390/e23040384 |