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Volumn 10, Issue , 2014, Pages 87-102

Modelling skewed spatial random fields through the spatial vine copula

Author keywords

Interpolation; Multivariate extremes; Spatial copula; Vine copula

Indexed keywords


EID: 84920171596     PISSN: 22116753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spasta.2014.01.001     Document Type: Article
Times cited : (91)

References (37)
  • 1
    • 63649120808 scopus 로고    scopus 로고
    • Pair-copula constructions of multiple dependence
    • Aas K., Czado C., Frigessi A., Bakken H. Pair-copula constructions of multiple dependence. Insurance Math. Econom. 2009, 44:182-198. URL http://dx.doi.org/10.1016/j.insmatheco.2007.02.001.
    • (2009) Insurance Math. Econom. , vol.44 , pp. 182-198
    • Aas, K.1    Czado, C.2    Frigessi, A.3    Bakken, H.4
  • 2
    • 33846341173 scopus 로고    scopus 로고
    • Copula-based geostatistical models for groundwater quality parameters
    • Bárdossy A. Copula-based geostatistical models for groundwater quality parameters. Water Resour. Res. 2006, 42(11):W11416. URL http://dx.doi.org/10.1029/2005WR004754.
    • (2006) Water Resour. Res. , vol.42 , Issue.11 , pp. W11416
    • Bárdossy, A.1
  • 3
    • 80052405823 scopus 로고    scopus 로고
    • Interpolation of groundwater quality parameters with some values below the detection limit
    • Bárdossy A. Interpolation of groundwater quality parameters with some values below the detection limit. Hydrol. Earth Syst. Sci. 2011, 15(9):2763-2775. URL http://dx.doi.org/10.5194/hess-15-2763-2011.
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , Issue.9 , pp. 2763-2775
    • Bárdossy, A.1
  • 4
    • 53649106056 scopus 로고    scopus 로고
    • Geostatistical interpolation using copulas
    • Partly founded by DFG: GRK 1398, BA 1150/12-1
    • Bárdossy A., Li J. Geostatistical interpolation using copulas. Water Resour. Res. 2008, 44(7):W07412. Partly founded by DFG: GRK 1398, BA 1150/12-1. URL http://dx.doi.org/10.1029/2007WR006115.
    • (2008) Water Resour. Res. , vol.44 , Issue.7 , pp. W07412
    • Bárdossy, A.1    Li, J.2
  • 5
    • 72449130454 scopus 로고    scopus 로고
    • Copula based multisite model for daily precipitation simulation
    • Bárdossy A., Pegram G.G.S. Copula based multisite model for daily precipitation simulation. Hydrol. Earth Syst. Sci. 2009, 13(12):2299-2314. URL http://dx.doi.org/10.5194/hess-13-2299-2009.
    • (2009) Hydrol. Earth Syst. Sci. , vol.13 , Issue.12 , pp. 2299-2314
    • Bárdossy, A.1    Pegram, G.G.S.2
  • 6
    • 0036392207 scopus 로고    scopus 로고
    • Vines-a new graphical model for dependent random variables
    • Bedford T., Cooke R.M. Vines-a new graphical model for dependent random variables. Ann. Statist. 2002, 30(4):1031-1068. URL http://dx.doi.org/10.1214/aos/1031689016.
    • (2002) Ann. Statist. , vol.30 , Issue.4 , pp. 1031-1068
    • Bedford, T.1    Cooke, R.M.2
  • 7
    • 84920197643 scopus 로고    scopus 로고
    • Air pollution modeling at different stations using a hierarchical copula construction
    • Technical University of Munich, URL.
    • Brechmann, E., 2013. Air pollution modeling at different stations using a hierarchical copula construction. In: Abstracts of the Spatial Copula Day - 21.02.2013. Technical University of Munich, pp. 3-4 URL. http://www-m4.ma.tum.de/allgemeines/veranstaltungen/spatial-copula-day/.
    • (2013) Abstracts of the Spatial Copula Day - 21.02.2013 , pp. 3-4
    • Brechmann, E.1
  • 8
    • 84856920894 scopus 로고    scopus 로고
    • Truncated regular vines in high dimensions with application to financial data
    • Brechmann E.C., Czado C., Aas K. Truncated regular vines in high dimensions with application to financial data. Canad. J. Statist. 2012, 40(1):68-85. URL http://dx.doi.org/10.1002/cjs.10141.
    • (2012) Canad. J. Statist. , vol.40 , Issue.1 , pp. 68-85
    • Brechmann, E.C.1    Czado, C.2    Aas, K.3
  • 9
    • 84986540153 scopus 로고    scopus 로고
    • Vines arise
    • World Scientific Publishing Co., (Ch. 3), D. Kurowicka, H. Joe (Eds.)
    • Cooke R.M., Joe H., Aas K. Vines arise. Dependence Modelling 2011, 37-72. World Scientific Publishing Co., (Ch. 3). D. Kurowicka, H. Joe (Eds.).
    • (2011) Dependence Modelling , pp. 37-72
    • Cooke, R.M.1    Joe, H.2    Aas, K.3
  • 10
    • 84861767343 scopus 로고    scopus 로고
    • Maximum likelihood estimation of mixed c-vines with application to exchange rates
    • Czado C., Schepsmeier U., Min A. Maximum likelihood estimation of mixed c-vines with application to exchange rates. Stat. Model. 2012, 12(3):229-255. URL http://dx.doi.org/10.1177/1471082X1101200302.
    • (2012) Stat. Model. , vol.12 , Issue.3 , pp. 229-255
    • Czado, C.1    Schepsmeier, U.2    Min, A.3
  • 11
    • 84870062184 scopus 로고    scopus 로고
    • Selecting and estimating regular vine copulae and application to financial returns
    • Dissmann J.F., Brechmann E.C., Czado C., Kurowicka D. Selecting and estimating regular vine copulae and application to financial returns. Comput. Statist. Data Anal. 2013, 59(1):52-69. URL http://dx.doi.org/10.1016/j.csda.2012.08.010.
    • (2013) Comput. Statist. Data Anal. , vol.59 , Issue.1 , pp. 52-69
    • Dissmann, J.F.1    Brechmann, E.C.2    Czado, C.3    Kurowicka, D.4
  • 12
    • 70249138409 scopus 로고    scopus 로고
    • Introduction to the spatial interpolation comparison (SIC) 2004 exercise and presentation of the datasets
    • 09-1-09-11
    • Dubois G., Galmarini S. Introduction to the spatial interpolation comparison (SIC) 2004 exercise and presentation of the datasets. Appl. GIS 2005, 1(2). 09-1-09-11. URL http://www.epress.monash.edu/ag/ag050009.pdf.
    • (2005) Appl. GIS , vol.1 , Issue.2
    • Dubois, G.1    Galmarini, S.2
  • 14
    • 70249148072 scopus 로고    scopus 로고
    • Automatic mapping in the presence of substitutive errors: a robust kriging approach
    • 12-01-12-16
    • Fournier B., Furrer R. Automatic mapping in the presence of substitutive errors: a robust kriging approach. Appl. GIS 2005, 1(2). 12-01-12-16. URL http://dx.doi.org/10.2104/ag050012.
    • (2005) Appl. GIS , vol.1 , Issue.2
    • Fournier, B.1    Furrer, R.2
  • 15
    • 0003951851 scopus 로고
    • A stochastic approach to the simulation of block conductivity fields conditioned upon data measured at a smaller scale
    • Ph.D. Thesis. Stanford University, Stanford, CA.
    • Gómez-Hernández, J., 1991. A stochastic approach to the simulation of block conductivity fields conditioned upon data measured at a smaller scale. Ph.D. Thesis. Stanford University, Stanford, CA.
    • (1991)
    • Gómez-Hernández, J.1
  • 16
    • 0027880698 scopus 로고
    • Joint sequential simulation of multigaussian fields
    • Springer, Netherlands, A. Soares (Ed.) Geostatistics Tróia' 92
    • Gómez-Hernández J., Journel A. Joint sequential simulation of multigaussian fields. Quantitative Geology and Geostatistics 1993, vol. 5:85-94. Springer, Netherlands, URL http://dx.doi.org/10.1007/978-94-011-1739-5_8. A. Soares (Ed.).
    • (1993) Quantitative Geology and Geostatistics , vol.5 , pp. 85-94
    • Gómez-Hernández, J.1    Journel, A.2
  • 17
    • 84857419178 scopus 로고    scopus 로고
    • The pair-copula construction for spatial data: a new approach to model spatial dependency
    • Gräler B., Pebesma E.J. The pair-copula construction for spatial data: a new approach to model spatial dependency. Proc. Environ. Sci. 2011, 7:206-211. URL http://dx.doi.org/10.1016/j.proenv.2011.07.036.
    • (2011) Proc. Environ. Sci. , vol.7 , pp. 206-211
    • Gräler, B.1    Pebesma, E.J.2
  • 18
    • 85031964936 scopus 로고    scopus 로고
    • Modelling dependence in space and time with vine copulas
    • Oslo, Norway June 11-15, 2012. International Geostatistics Congress, URL.
    • Gräler, B., Pebesma, E.J., 2012. Modelling dependence in space and time with vine copulas. In: Expanded Abstract Collection from Ninth International Geostatistics Congress, Oslo, Norway June 11-15, 2012. International Geostatistics Congress, URL. http://geostats2012.nr.no/1742830.html.
    • (2012) Expanded Abstract Collection from Ninth International Geostatistics Congress
    • Gräler, B.1    Pebesma, E.J.2
  • 19
    • 33645732940 scopus 로고    scopus 로고
    • Design hydrograph analysis with 3-copula function
    • Grimaldi S., Serinaldi F. Design hydrograph analysis with 3-copula function. Hydrol. Sci. J. 2006, 51(2):223-238. URL http://dx.doi.org/10.1623/hysj.51.2.223.
    • (2006) Hydrol. Sci. J. , vol.51 , Issue.2 , pp. 223-238
    • Grimaldi, S.1    Serinaldi, F.2
  • 20
    • 33845581112 scopus 로고    scopus 로고
    • Geostatistical interpolation of hourly precipitation from rain gauges and radar for a large-scale extreme rainfall event
    • Haberlandt U. Geostatistical interpolation of hourly precipitation from rain gauges and radar for a large-scale extreme rainfall event. J. Hydrol. 2007, 332(1-2):144-157. URL http://dx.doi.org/10.1016/j.jhydrol.2006.06.028.
    • (2007) J. Hydrol. , vol.332 , Issue.1-2 , pp. 144-157
    • Haberlandt, U.1
  • 21
    • 67650519655 scopus 로고    scopus 로고
    • Real-time automatic interpolation of ambient gamma dose rates from the dutch radioactivity monitoring network
    • Hiemstra P., Pebesma E., Twenhöfel C., Heuvelink G. Real-time automatic interpolation of ambient gamma dose rates from the dutch radioactivity monitoring network. Comput. Geosci. 2009, 35(8):1711-1721. URL http://dx.doi.org/10.1016/j.cageo.2008.10.011.
    • (2009) Comput. Geosci. , vol.35 , Issue.8 , pp. 1711-1721
    • Hiemstra, P.1    Pebesma, E.2    Twenhöfel, C.3    Heuvelink, G.4
  • 25
    • 71849084400 scopus 로고    scopus 로고
    • A copula-based joint deficit index for droughts
    • Kao S.-C., Govindaraju R.S. A copula-based joint deficit index for droughts. J. Hydrol. 2010, 380(1-2):121-134. URL http://dx.doi.org/10.1016/j.jhydrol.2009.10.029.
    • (2010) J. Hydrol. , vol.380 , Issue.1-2 , pp. 121-134
    • Kao, S.-C.1    Govindaraju, R.S.2
  • 26
    • 77955050495 scopus 로고    scopus 로고
    • Copula-based geostatistical modeling of continuous and discrete data including covariates
    • Kazianka H., Pilz J. Copula-based geostatistical modeling of continuous and discrete data including covariates. Stoch. Environ. Res. Risk Assess. 2010, 24(5):661-673. URL http://dx.doi.org/10.1007/s00477-009-0353-8.
    • (2010) Stoch. Environ. Res. Risk Assess. , vol.24 , Issue.5 , pp. 661-673
    • Kazianka, H.1    Pilz, J.2
  • 27
    • 79952187257 scopus 로고    scopus 로고
    • Spatial interpolation using copula-based geostatistical models
    • Springer, P. Atkinson, C. Lloyd (Eds.)
    • Kazianka H., Pilz J. Spatial interpolation using copula-based geostatistical models. GeoENV VII - Geostatistics for Environmental Applications 2010, 307-320. Springer. P. Atkinson, C. Lloyd (Eds.).
    • (2010) GeoENV VII - Geostatistics for Environmental Applications , pp. 307-320
    • Kazianka, H.1    Pilz, J.2
  • 28
    • 79952191391 scopus 로고    scopus 로고
    • Bayesian spatial modeling and interpolation using copulas
    • Kazianka H., Pilz J. Bayesian spatial modeling and interpolation using copulas. Comput. Geosci. 2011, 37(3):310-319. URL http://dx.doi.org/10.1016/j.cageo.2010.06.005.
    • (2011) Comput. Geosci. , vol.37 , Issue.3 , pp. 310-319
    • Kazianka, H.1    Pilz, J.2
  • 30
    • 3342878970 scopus 로고    scopus 로고
    • Multivariable geostatistics in S: the gstat package
    • Pebesma E.J. Multivariable geostatistics in S: the gstat package. Comput. Geosci. 2004, 30:683-691. URL http://dx.doi.org/10.1016/j.cageo.2004.03.012.
    • (2004) Comput. Geosci. , vol.30 , pp. 683-691
    • Pebesma, E.J.1
  • 31
    • 45749154369 scopus 로고    scopus 로고
    • Support vector regression for automated robust spatial mapping of natural radioactivity
    • 21-01-21-10
    • Pozdnoukhov A. Support vector regression for automated robust spatial mapping of natural radioactivity. Appl. GIS 2005, 1(2). 21-01-21-10. URL http://dx.doi.org/10.2104/ag050021.
    • (2005) Appl. GIS , vol.1 , Issue.2
    • Pozdnoukhov, A.1
  • 32
    • 84863304598 scopus 로고    scopus 로고
    • R Foundation for Statistical Computing, Vienna, Austria. URL.
    • R Core Team, 2013. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL. http://www.R-project.org/.
    • (2013) R: A Language and Environment for Statistical Computing
  • 33
    • 84883802304 scopus 로고    scopus 로고
    • Multivariate extreme value methods
    • Springer, A. AghaKouchak, D. Easterling, K. Hsu, S. Schubert, S. Sorooshian (Eds.)
    • Salvadori G., De Michele C. Multivariate extreme value methods. Extremes in a Changing Climate 2013, Springer, URL http://dx.doi.org/10.1007/978-94-007-4479-0_5. A. AghaKouchak, D. Easterling, K. Hsu, S. Schubert, S. Sorooshian (Eds.).
    • (2013) Extremes in a Changing Climate
    • Salvadori, G.1    De Michele, C.2
  • 34
    • 84856554102 scopus 로고    scopus 로고
    • On the return period and design in a multivariate framework
    • Salvadori G., De Michele C., Durante F. On the return period and design in a multivariate framework. Hydrol. Earth Syst. Sci. 2011, 15(11):3293-3305. URL http://dx.doi.org/10.5194/hess-15-3293-2011.
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , Issue.11 , pp. 3293-3305
    • Salvadori, G.1    De Michele, C.2    Durante, F.3
  • 35
    • 84920130924 scopus 로고    scopus 로고
    • Spatial r-vine copula models. In: Abstracts of the Spatial Copula Day - 21.02.2013
    • Technical University of Munich, Technische Universität München, February. URL.
    • Schepsmeier, U., 2013. Spatial r-vine copula models. In: Abstracts of the Spatial Copula Day - 21.02.2013. Technical University of Munich, Technische Universität München, pp. 2-3, February. URL. http://www-m4.ma.tum.de/allgemeines/veranstaltungen/spatial-copula-day/.
    • (2013) , pp. 2-3
    • Schepsmeier, U.1
  • 36
    • 0000795592 scopus 로고
    • Fonctions de répartition á n dimensions et leurs marges
    • Sklar A. Fonctions de répartition á n dimensions et leurs marges. Publ. Inst. Statist. Univ. Paris 1959, 8:229-231.
    • (1959) Publ. Inst. Statist. Univ. Paris , vol.8 , pp. 229-231
    • Sklar, A.1
  • 37
    • 45749104883 scopus 로고    scopus 로고
    • Spatial prediction of radioactivity using general regression neural network
    • 19-01-19-14
    • Timonin V., Savelieva E. Spatial prediction of radioactivity using general regression neural network. Appl. GIS 2005, 1(2). 19-01-19-14. URL http://dx.doi.org/10.2104/ag050019.
    • (2005) Appl. GIS , vol.1 , Issue.2
    • Timonin, V.1    Savelieva, E.2


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