Purataan Bayesian Spatial
Purataan Bayesian spatial (BMA spatial) melanjutkan BMA klasik kepada tetapan di mana pemerhatian digeoreferens dan kebergantungan spatial mesti dimodelkan. Daripada memilih satu model regresi spatial — matriks berat spatial mana yang perlu digunakan, regressor mana yang perlu dimasukkan, struktur lag atau ralat spatial mana yang perlu diguna pakai — ia purata ramalan dan anggaran parameter merentasi semua model calon, memberati setiap satu mengikut kebarangkalian posteriornya berdasarkan data.
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Method map
The neighbourhood of related methods — select a node to explore.
Sumber
- LeSage, J. P. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247
- Fernandez, C., Ley, E. & Steel, M. F. J. (2001). Benchmark priors for Bayesian model averaging. Journal of Econometrics, 100(2), 381-427. DOI: 10.1016/S0304-4076(00)00076-2 ↗
Cara memetik halaman ini
ScholarGate. (2026, June 3). Spatial Bayesian Model Averaging. ScholarGate. https://scholargate.app/ms/bayesian/spatial-bayesian-model-averaging
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Bayesian Model AveragingBayesian↔ compare
- Regresi BayesianBayesian↔ compare
- Inferensi Bayesian HierarkiBayesian↔ compare
- Inferensi Bayesian SpatialBayesian↔ compare
- Inferensi Variasi SpatialBayesian↔ compare
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