Probability Aggregation Methods in Geoscience

Denis Allard1, Alessandro Comunian2, Philippe Renard3
1UR546 Biostatistique et Processus Spatiaux (BioSP), INRA, Avignon, France
2Centre of Hydrogeology and Geothermics, CHYN, Université de Neuchâtel, 11 Rue Emile Argand, 2000, Neuchâtel, Switzerland
3Centre of Hydrogeology and Geothermics, CHYN, Université de Neuchâtel, Neuchâtel, Switzerland

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Allard D, D’Or D, Froidevaux R (2011) An efficient maximum entropy approach for categorical variable prediction. Eur J Soil Sci 62(3):381–393

Bacharach M (1979) Normal Bayesian dialogues. J Am Stat Assoc 74:837–846

Benediktsson J, Swain P (1992) Consensus theoretic classification methods. IEEE Trans Syst Man Cybern 22:688–704

Bordley RF (1982) A multiplicative formula for aggregating probability assessments. Manag Sci 28:1137–1148

Brier G (1950) Verification of forecasts expressed in terms of probability. Mon Weather Rev 78:1–3

Bröcker J, Smith LA (2007) Increasing the reliability of reliability diagrams. Weather Forecast 22:651–661

Cao G, Kyriakidis P, Goodchild M (2009) Prediction and simulation in categorical fields: a transition probability combination approach. In: Proceedings of the 17th ACM SIGSPATIAL international conference on advances in geographic information systems, GIS’09. ACM, New York, pp 496–499

Christakos G (1990) A Bayesian/maximum-entropy view to the spatial estimation problem. Math Geol 22:763–777

Chugunova T, Hu L (2008) An assessment of the tau model for integrating auxiliary information. In: Ortiz JM, Emery X (eds) VIII international geostatistics congress, Geostats 2008. Gecamin, Santiago, pp 339–348

Clemen RT, Winkler RL (1999) Combining probability distributions from experts in risk analysis. Risk Anal 19:187–203

Clemen RT, Winkler W (2007) Aggregating probability distributions. In: Edwards W, Miles RF, von Winterfeldt D (eds) Advances in decision analysis. Cambridge University Press, Cambridge, pp 154–176

Comunian A (2010) Probability aggregation methods and multiple-point statistics for 3D modeling of aquifer heterogeneity from 2D training images. PhD thesis, University of Neuchâtel, Switzerland

Comunian A, Renard P, Straubhaar J (2011) 3D multiple-point statistics simulation using 2D training images. Comput Geosci 40:49–65

Cover TM, Thomas JA (2006) Elements of information theory, 2nd edn. Wiley, New York

Dietrich F (2010) Bayesian group belief. Soc Choice Welf 35:595–626

Genest C (1984) Pooling operators with the marginalization property. Can J Stat 12:153–165

Genest C, Wagner CG (1987) Further evidence against independence preservation in expert judgement synthesis. Aequ Math 32:74–86

Genest C, Zidek JV (1986) Combining probability distributions: a critique and an annotated bibliography. Stat Sci 1:114–148

Gneiting T, Raftery AE (2007) Strictly proper scoring rules, prediction, and estimation. J Am Stat Assoc 102:359–378

Heskes T (1998) Selecting weighting factors in logarithmic opinion pools. In: Jordan M, Kearns M, Solla S (eds) Advances in neural information processing systems, vol 10. MIT Press, Cambridge, pp 266–272

Journel A (2002) Combining knowledge from diverse sources: an alternative to traditional data independence hypotheses. Math Geol 34:573–596

Krishnan S (2008) The Tau model for data redundancy and information combination in earth sciences: theory and application. Math Geosci 40:705–727

Kullback S, Leibler RA (1951) On information and sufficiency. Ann Math Stat 22:76–86

Lantuéjoul C (2002) Geostatistical simulations. Springer, Berlin

Lehrer K, Wagner C (1983) Probability amalgamation and the independence issue: a reply to Laddaga. Synthese 55:339–346

Mariethoz G, Renard P, Froidevaux R (2009) Integrating collocated auxiliary parameters in geostatistical simulations using joint probability distributions and probability aggregation. Water Resour Res 45(W08421):1–13

Okabe H, Blunt MJ (2004) Prediction of permeability for porous media reconstructed using multiple-point statistics. Phys Rev E 70(6):066135

Okabe H, Blunt MJ (2007) Pore space reconstruction of vuggy carbonates using microtomography and multiple-point statistics. Water Resour Res 43(W12S02):1–5

Polyakova EI, Journel AG (2007) The nu expression for probabilistic data integration. Math Geol 39:715–733

Ranjan R, Gneiting T (2010) Combining probability forecasts. J R Stat Soc B 72:71–91

Schwartz G (1978) Estimating the dimension of a model. Ann Stat 6:461–464

Stone M (1961) The opinion pool. Ann Math Stat 32:1339–1348

Strebelle S, Payrazyan K, Caers J (2003) Modeling of a deepwater turbidite reservoir conditional to seismic data using principal component analysis and multiple-point geostatistics. SPE J 8:227–235

Tarantola A (2005) Inverse problem theory. Society for Industrial and Applied Mathematics, Philadelphia

Tarantola A, Valette B (1982) Inverse problems = quest for information. J Geophys 50:159–170

Wagner C (1984) Aggregating subjective probabilities: some limitative theorems. Notre Dame J Form Log 25:233–240

Winkler RL (1968) The consensus of subjective probability distributions. Manag Sci 15:B61–B75