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Volumn , Issue , 2012, Pages 347-354

Flood damage and influencing factors: A Bayesian network perspective

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FRAMEWORKS; CLASSICAL APPROACH; CONTINUOUS VARIABLES; DAMAGE ASSESSMENTS; DISCRETIZATIONS; FLOOD LOSS; FLOOD RISK ASSESSMENTS; GAUSSIAN KERNELS; JOINT DISTRIBUTIONS; MAXIMUM A POSTERIORI; NETWORK STRUCTURES; STATE-OF-THE-ART METHODS;

EID: 84874680880     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (17)
  • 5
    • 79251625936 scopus 로고    scopus 로고
    • Modeling the Joint Probability of Earthquake, Site, and Ground-Motion Parameters Using Bayesian Networks
    • Nicolas M. Kuehn, Carsten Riggelsen, and Frank Scherbaum. 2011. Modeling the Joint Probability of Earthquake, Site, and Ground-Motion Parameters Using Bayesian Networks. Bulletin of the 5 eismological Society of America, 101(l):235-249.
    • (2011) Bulletin of the 5 Eismological Society of America , vol.101 , Issue.1 , pp. 235-249
    • Kuehn, N.M.1    Riggelsen, C.2    Scherbaum, F.3
  • 10
    • 84937428461 scopus 로고    scopus 로고
    • Mixtures of Truncated Exponentials in Hybrid Bayesian Networks
    • Salem Benferhat and Philippe Besnard, editors
    • Serafin Moral, Rafael Rumi, and Antonio Salmerón. 2001. Mixtures of Truncated Exponentials in Hybrid Bayesian Networks. In Salem Benferhat and Philippe Besnard, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pages 156-167.
    • (2001) Symbolic and Quantitative Approaches to Reasoning with Uncertainty , pp. 156-167
    • Moral, S.1    Rumi, R.2    Salmerón, A.3
  • 12
    • 33745464487 scopus 로고    scopus 로고
    • Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions
    • Carsten Riggelsen. 2006. Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions. In STAM International conf. on data mining, pages 130-140.
    • (2006) STAM International Conf. on Data Mining , pp. 130-140
    • Riggelsen, C.1
  • 13
    • 67049114703 scopus 로고    scopus 로고
    • Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter
    • Carsten Riggelsen. 2008. Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter. In ICDM, 2008 Eighth IEEE International Conference on Data Mining, pages 522-529.
    • (2008) ICDM, 2008 Eighth IEEE International Conference on Data Mining , pp. 522-529
    • Riggelsen, C.1
  • 14
    • 33845681995 scopus 로고    scopus 로고
    • Estimating mixtures of truncated exponentials in hybrid bayesian networks
    • Rafael Rumi, Antonio Salmerón, and Serafin Moral. 2006. Estimating mixtures of truncated exponentials in hybrid bayesian networks. Test, 15(2):397-421.
    • (2006) Test , vol.15 , Issue.2 , pp. 397-421
    • Rumi, R.1    Salmerón, A.2    Moral, S.3
  • 16
    • 31444431842 scopus 로고    scopus 로고
    • Flood damage and influencing factors: New insights from the August 2002 flood in Germany
    • Annegret H. Thieken, Meike Müller, Heidi Kreibich, and Bruno Merz. 2005. Flood damage and influencing factors: New insights from the August 2002 flood in Germany. Water resources research, 41.
    • (2005) Water Resources Research , vol.41
    • Thieken, A.H.1    Müller, M.2    Kreibich, H.3    Merz, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.