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Volumn 21, Issue 6, 2007, Pages 695-709

Bayesian data fusion in a spatial prediction context: A general formulation

Author keywords

Data merging; Entropy; Kriging; Measurement errors; Soft information

Indexed keywords

BAYESIAN ANALYSIS; DATA PROCESSING; KRIGING; MAXIMUM ENTROPY ANALYSIS; MODELING; MULTIVARIATE ANALYSIS; PREDICTION; PROBABILITY;

EID: 34648840544     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-006-0080-3     Document Type: Article
Times cited : (46)

References (34)
  • 1
    • 25844518769 scopus 로고    scopus 로고
    • On naive Bayesian fusion of dependent classifiers
    • Altinçay H (2005) On naive Bayesian fusion of dependent classifiers. Pattern Recognit Lett 26:2463-2473
    • (2005) Pattern Recognit Lett , vol.26 , pp. 2463-2473
    • Altinçay, H.1
  • 2
    • 0013187225 scopus 로고    scopus 로고
    • Estimating soil properties from thematic soil maps: The Bayesian maximum entropy approach
    • Bogaert P, D'Or D (2003) Estimating soil properties from thematic soil maps: The Bayesian maximum entropy approach. Soil Sci Soc Am J 66:1492-1500
    • (2003) Soil Sci Soc Am J , vol.66 , pp. 1492-1500
    • Bogaert, P.1    D'Or, D.2
  • 4
    • 0037399699 scopus 로고    scopus 로고
    • Exploring artificial intelligence-based data fusion for conjoint analysis
    • Cho S, Beak S, Kim JS (2003) Exploring artificial intelligence-based data fusion for conjoint analysis. Expert Syst Appl 24:287-294
    • (2003) Expert Syst Appl , vol.24 , pp. 287-294
    • Cho, S.1    Beak, S.2    Kim, J.S.3
  • 5
    • 0004195898 scopus 로고    scopus 로고
    • Oxford University Press, New York, (3nd Reprint, 2001)
    • Christakos G (2000) Modern spatiotemporal geostatistics. Oxford University Press, New York, 304 p. (3nd Reprint, 2001)
    • (2000) Modern Spatiotemporal Geostatistics , pp. 304
    • Christakos, G.1
  • 6
    • 0036704530 scopus 로고    scopus 로고
    • On the assimilation of uncertain physical knowledge bases: Bayesian and non-Bayesian techniques
    • Christakos G (2002) On the assimilation of uncertain physical knowledge bases: Bayesian and non-Bayesian techniques. Adv Water Resour 25:1257-1274
    • (2002) Adv Water Resour , vol.25 , pp. 1257-1274
    • Christakos, G.1
  • 10
    • 0035458249 scopus 로고    scopus 로고
    • A comparison of decision-level sensor-fusion methods for anti-personnel land mine detection
    • Cremer F, Schutte K, Schavemaker JGM, den Breejen E (2001) A comparison of decision-level sensor-fusion methods for anti-personnel land mine detection. Inf Fusion 2:187-208
    • (2001) Inf Fusion , vol.2 , pp. 187-208
    • Cremer, F.1    Schutte, K.2    Schavemaker, J.G.M.3    den Breejen, E.4
  • 12
    • 9344257857 scopus 로고    scopus 로고
    • Spatial prediction of categorical variables with the Bayesian maximum entropy approach: The Ooypolder case study
    • D'Or D, Bogaert P (2004) Spatial prediction of categorical variables with the Bayesian maximum entropy approach: The Ooypolder case study. Eur J Soil Sci 55:763-776
    • (2004) Eur J Soil Sci , vol.55 , pp. 763-776
    • D'Or, D.1    Bogaert, P.2
  • 13
    • 0031222096 scopus 로고    scopus 로고
    • Fusion of audio and video information for multi modal person authentification
    • Duc B, Bigün ES, Bigün J, Maître G, Fischer S (1997) Fusion of audio and video information for multi modal person authentification. Pattern Recognit Lett 18:835-843
    • (1997) Pattern Recognit Lett , vol.18 , pp. 835-843
    • Duc, B.1    Bigün, E.S.2    Bigün, J.3    Maître, G.4    Fischer, S.5
  • 14
    • 0346639284 scopus 로고    scopus 로고
    • A new probabilistic and entropy fusion approach for management of information sources
    • Fassinut-Mombot B, Choquel J-B (2004) A new probabilistic and entropy fusion approach for management of information sources. Inf Fusion 5:35-47
    • (2004) Inf Fusion , vol.5 , pp. 35-47
    • Fassinut-Mombot, B.1    Choquel, J.-B.2
  • 18
    • 0041508633 scopus 로고    scopus 로고
    • Bayesian analysis for fusion of data from disparate imaging systems for surveillance
    • Jones GD, Allsop RE, Gilby JH (2003) Bayesian analysis for fusion of data from disparate imaging systems for surveillance. Image Vis Comput 21:843-849
    • (2003) Image Vis Comput , vol.21 , pp. 843-849
    • Jones, G.D.1    Allsop, R.E.2    Gilby, J.H.3
  • 19
  • 21
    • 84957069091 scopus 로고    scopus 로고
    • Naive (Bayes) at forty: The independence assumption in information retrieval
    • Springer, Berlin Heidelberg New York
    • Lewis D (1998) Naive (Bayes) at forty: The independence assumption in information retrieval. Conference proceedings of the European Conference on Machine Learning, Springer, Berlin Heidelberg New York, pp 4-15
    • (1998) Conference Proceedings of the European Conference on Machine Learning , pp. 4-15
    • Lewis, D.1
  • 22
    • 0036643380 scopus 로고    scopus 로고
    • A statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images
    • Melgani F, Serpico SB (2002) A statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images. Patter Recognit Lett 23:1053-1061
    • (2002) Patter Recognit Lett , vol.23 , pp. 1053-1061
    • Melgani, F.1    Serpico, S.B.2
  • 27
    • 34648820940 scopus 로고    scopus 로고
    • Data fusion: Identification problems, validity, and multiple imputation
    • Rässler S (2004) Data fusion: Identification problems, validity, and multiple imputation. Aust J Stat 33:153-171
    • (2004) Aust J Stat , vol.33 , pp. 153-171
    • Rässler, S.1
  • 28
    • 0038343934 scopus 로고    scopus 로고
    • Information fusion in biometrics
    • Ross A, Jain A (2003) Information fusion in biometrics. Pattern Recognit Lett 24:2115-2125
    • (2003) Pattern Recognit Lett , vol.24 , pp. 2115-2125
    • Ross, A.1    Jain, A.2
  • 31
    • 0037290189 scopus 로고    scopus 로고
    • Data fusion, ensemble and clustering to improve the classification accuracy for the severity of road traffic accidents in Korea
    • Sohn SY, Lee SH (2003) Data fusion, ensemble and clustering to improve the classification accuracy for the severity of road traffic accidents in Korea. Saf Sci 41:1-14
    • (2003) Saf Sci , vol.41 , pp. 1-14
    • Sohn, S.Y.1    Lee, S.H.2
  • 34
    • 1542469523 scopus 로고    scopus 로고
    • Spatial-temporal hierarchical Bayesian modeling: Tropical ocean surface winds
    • Wikle CK, Milliff RF, Nychka D, Berliner LM (2001) Spatial-temporal hierarchical Bayesian modeling: Tropical ocean surface winds. J Am Stat Assoc 96:382-397
    • (2001) J Am Stat Assoc , vol.96 , pp. 382-397
    • Wikle, C.K.1    Milliff, R.F.2    Nychka, D.3    Berliner, L.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.