Estimating mixtures of truncated exponentials in hybrid bayesian networks
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DOI: 10.1007/BF02607059
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Cited by:
- Rosa Fernández Ropero & María Julia Flores & Rafael Rumí, 2022. "Bayesian Networks for Preprocessing Water Management Data," Mathematics, MDPI, vol. 10(10), pages 1-18, May.
- Langseth, Helge & Nielsen, Thomas D. & RumÃ, Rafael & Salmerón, Antonio, 2009. "Inference in hybrid Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1499-1509.
- Serafín Moral, 2022. "Comments on: Hybrid semiparametric Bayesian networks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 340-343, June.
- Ropero, R.F. & Renooij, S. & van der Gaag, L.C., 2018. "Discretizing environmental data for learning Bayesian-network classifiers," Ecological Modelling, Elsevier, vol. 368(C), pages 391-403.
- Cobb, Barry R. & Johnson, Alan W. & Rumí, Rafael & Salmerón, Antonio, 2015. "Accurate lead time demand modeling and optimal inventory policies in continuous review systems," International Journal of Production Economics, Elsevier, vol. 163(C), pages 124-136.
- Ropero, R.F. & Aguilera, P.A. & Rumí, R., 2015. "Analysis of the socioecological structure and dynamics of the territory using a hybrid Bayesian network classifier," Ecological Modelling, Elsevier, vol. 311(C), pages 73-87.
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Keywords
Mixtures of truncated exponentials; lests squares estimation; hybrid Bayesian networks; statistical learning; 62F03; 62A05;All these keywords.
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Statistics
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