Guanyu Hu, Yishu Xue, Zhihua Ma
arXiv 25 Apr 2020 · Statistics — Methodology · publishedStatistical Modelling (2021) · 2 citations (OpenAlex)
arXiv:2004.12022 · PDF · DOI · OpenAlex · Extracted main text
In regional economics research, a problem of interest is to detect similarities between regions, and estimate their shared coefficients in economics models. In this article, we propose a mixture of finite mixtures (MFM) clustered regression model with auxiliary covariates that account for similarities in demographic or economic characteristics over a spatial domain. Our Bayesian construction provides both inference for number of clusters and clustering configurations, and estimation for parameters for each cluster. Empirical performance of the proposed model is illustrated through simulation experiments, and further applied to a study of influential factors for monthly housing cost in Georgia.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Ma, Z., Xue, Y., and Hu, G (2020) Heterogeneous regression models for clusters of spatial dependent data self | 0.843 | 3 | 3 | 100% |
| 2 | Zou, T., Lan, W., Wang, H., and Tsai, C.-L (2017) Covariance regression analysis | 0.843 | 3 | 3 | 100% |
| 3 | Miller, J. W. and Harrison, M. T (2018) Mixture models with a prior on the number of components | 0.737 | 3 | 2 | 100% |
| 4 | Gelfand, A. E., Kim, H.-J., Sirmans, C., and Banerjee, S (2003) Spatial modeling with spatially varying coefficient processes | 0.644 | 2 | 2 | 100% |
| 5 | Miller, J. W. and Harrison, M. T (2013) A simple example of Dirichlet process mixture inconsistency for the number of components | 0.644 | 2 | 2 | 100% |
| 6 | Neal, R. M (2000) Markov chain sampling methods for Dirichlet process mixture models | 0.644 | 2 | 2 | 100% |
| 7 | Vavrek, M. J (2011) fossil: Palaeoecological and palaeogeographical analysis tools | 0.405 | 1 | 1 | 100% |
| 8 | Bradley, J. R., Holan, S. H., Wikle, C. K., et al (2018) Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion) | 0.405 | 1 | 1 | 100% |
| 9 | Brunsdon, C., Fotheringham, A. S., and Charlton, M. E (1996) Geographically weighted regression: a method for exploring spatial nonstationarity | 0.405 | 1 | 1 | 100% |
| 10 | Carlin, B. P., Gelfand, A. E., and Banerjee, S (2014) Hierarchical Modeling and Analysis for Spatial Data | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 46 scored citations.