182 citations as recorded by crossref.

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13. Modeling and application of industrial process fault detection based on pruning vine copula J. Wan & S. Li 10.1016/j.chemolab.2018.11.005
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21. Monitoring Test for Stability of Dependence Structure in Multivariate Data Based on Copula J. Lee & B. Kim 10.3390/e18120457
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28. An Incremental Clustering-Based Fault Detection Algorithm for Class-Imbalanced Process Data . Jueun Kwak et al. 10.1109/TSM.2015.2445380
29. A new scheme for multivariate, multisite weather generator with inter-variable, inter-site dependence and inter-annual variability based on empirical copula approach X. Li & V. Babovic 10.1007/s00382-018-4249-5
30. A mutual information based R-vine copula strategy to estimate VaR in high frequency stock market data C. Sharma et al. 10.1371/journal.pone.0253307
31. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
32. Holocene climate variability in the Levant from the Dead Sea pollen record T. Litt et al. 10.1016/j.quascirev.2012.06.012
33. Idealized models of the joint probability distribution of wind speeds A. Monahan 10.5194/npg-25-335-2018
34. An Upper Limit to Youth Psychotherapy Benefit? A Meta-Analytic Copula Approach to Psychotherapy Outcomes P. Jones et al. 10.1177/2167702619858424
35. Is southwestern China experiencing more frequent precipitation extremes? M. Liu et al. 10.1088/1748-9326/9/6/064002
36. Quantifying the joint distribution of drought indicators in Borneo fire-prone area M. Najib et al. 10.1088/1755-1315/880/1/012002
37. Copula-based approximation of particle breakage as link between DEM and PBM A. Spettl et al. 10.1016/j.compchemeng.2017.01.023
38. Vegetation and climate history in the Westeifel Volcanic Field (Germany) during the past 11 000 years based on annually laminated lacustrine maar sediments T. LITT et al. 10.1111/j.1502-3885.2009.00096.x
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41. Power outages and firm performance in Sub-Saharan Africa M. Cole et al. 10.1016/j.jdeveco.2018.05.003
42. A pathway for multivariate analysis of ecological communities using copulas M. Anderson et al. 10.1002/ece3.4948
43. Evaluation of the ability of regional climate models and a statistical model to represent the spatial characteristics of extreme precipitation L. Yang et al. 10.1002/joc.6602
44. Seasonal copula models for the analysis of glacier discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-016-1217-7
45. Probabilistic spatial prediction of categorical data using elliptical copulas X. Huang & Z. Wang 10.1007/s00477-017-1485-x
46. AnaWEGE: a weather generator based on analogues of atmospheric circulation P. Yiou 10.5194/gmd-7-531-2014
47. Projecting changes in regional temperature and precipitation extremes in the United States J. Schoof & S. Robeson 10.1016/j.wace.2015.09.004
48. Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R<sup>2</sup>D<sup>2</sup>) bias correction M. Vrac 10.5194/hess-22-3175-2018
49. Joint probability risk modelling of storm surge and cyclone wind along the coast of Bay of Bengal using a statistical copula N. Bushra et al. 10.1002/joc.6068
50. An Examination of Tail Dependence in Bordeaux Futures Prices and Parker Ratings D. Cyr et al. 10.1017/jwe.2017.18
51. Joint probability-based classifier based on vine copula method for land use classification of multispectral remote sensing data Y. Zhang et al. 10.1007/s12145-020-00487-0
52. Evaluating the effects of climate extremes on crop yield, production and price using multivariate distributions: A new copula application F. Alidoost et al. 10.1016/j.wace.2019.100227
53. Minimum temperature mapping with spatial copula interpolation P. Bostan et al. 10.1016/j.spasta.2020.100464
54. Stochastic Response Assessment of Cross-Sea Bridges under Correlated Wind and Waves via Machine Learning C. Fang et al. 10.1061/(ASCE)BE.1943-5592.0001554
55. Measured and modeled spatial rain rate correlation to improve the prediction method for satellite site diversity T. Tjelta et al. 10.1002/2014RS005476
56. Vulnerability of hop‐yields due to compound drought and heat events over European key‐hop regions V. Potopová et al. 10.1002/joc.6836
57. Copula-based stochastic uncertainty analysis of satellite precipitation products E. Sharifi et al. 10.1016/j.jhydrol.2019.01.035
58. Climate derivatives strategies as an alternative to set up guaranteed prices for agricultural producers in México S. Cruz-Aké et al. 10.1080/13504851.2021.1985061
59. A Similarity-Based Implementation of the Schaake Shuffle R. Schefzik 10.1175/MWR-D-15-0227.1
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61. Bayesian sequential design for Copula models S. Senarathne et al. 10.1007/s11749-019-00661-7
62. Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed S. Han et al. 10.1061/(ASCE)HE.1943-5584.0001828
63. Investigation of multivariate pairs trading under copula approach with mixture distribution F. He et al. 10.1016/j.amc.2024.128635
64. The distribution of Kendall's tau for testing the significance of cross-correlation in persistent data K. Hamed 10.1080/02626667.2011.586948
65. Ensemble Model Output Statistics for Wind Vectors N. Schuhen et al. 10.1175/MWR-D-12-00028.1
66. Analysis of extreme precipitation characteristics in low mountain areas based on three-dimensional copulas—taking Kuandian County as an example C. Wang et al. 10.1007/s00704-015-1692-7
67. Interdependence between temperature and precipitation: modeling using copula method toward climate protection B. Hussain et al. 10.1007/s40808-021-01256-8
68. Joint Modeling of Precipitation and Temperature Using Copula Theory for Current and Future Prediction under Climate Change Scenarios in Arid Lands (Case Study, Kerman Province, Iran) T. Mesbahzadeh et al. 10.1155/2019/6848049
69. A physiographic approach to downscaling fractional snow cover data in mountainous regions R. Walters et al. 10.1016/j.rse.2014.07.001
70. A new method for wind speed forecasting based on copula theory Y. Wang et al. 10.1016/j.envres.2017.09.034
71. Climate change‐induced impacts on urban flood risk influenced by concurrent hazards A. Pedersen et al. 10.1111/j.1753-318X.2012.01139.x
72. Spatial extreme modeling using student t copula approach in Ngawi Regency M. Fauziyah et al. 10.1088/1742-6596/1538/1/012051
73. Developing an earthquake model based on simultaneous peak ground acceleration occurrences using the D-vine copula approach A. Ahdika et al. 10.1007/s40808-023-01846-8
74. Heterogeneous spatiotemporal copula‐based kriging for air pollution prediction J. Wang et al. 10.1111/tgis.12823
75. Selecting and estimating regular vine copulae and application to financial returns J. Dißmann et al. 10.1016/j.csda.2012.08.010
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77. Analysis of Reserves in Multiple Life Insurance using Copula I. Lee et al. 10.5351/CSAM.2014.21.1.023
78. Entropy–Copula in Hydrology and Climatology A. AghaKouchak 10.1175/JHM-D-13-0207.1
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83. Statistical modelling of extreme storms using copulas: A comparison study F. Li et al. 10.1016/j.coastaleng.2018.09.007
84. Decentralized monitoring for large‐scale process using copula‐correlation analysis and Bayesian inference–based multiblock principal component analysis Y. Tian et al. 10.1002/cem.3158
85. Construction of combined drought index based on bivariate joint distribution Y. Li et al. 10.1016/j.aej.2021.01.006
86. Using Vine Copulas to Generate Representative System States for Machine Learning I. Konstantelos et al. 10.1109/TPWRS.2018.2859367
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88. Functional Enrichment of Utopian Distribution of Plant Life-Forms J. Furze et al. 10.4236/ajps.2013.412A1006
89. Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. 10.5194/hess-26-2319-2022
90. Dynamic Copula Processes A. Galli et al. 10.2139/ssrn.1616503
91. Mixture of D-vine copulas for modeling dependence D. Kim et al. 10.1016/j.csda.2013.02.018
92. Virtual Storage-Based Model for Estimation of Economic Benefits of Electric Vehicles in Renewable Portfolios J. Vasilj et al. 10.3390/en13092315
93. Evaluating the Dependence between Temperature and Precipitation to Better Estimate the Risks of Concurrent Extreme Weather Events H. Wazneh et al. 10.1155/2020/8763631
94. Joint statistical models for significant wave height and wave period in a changing climate E. Vanem 10.1016/j.marstruc.2016.06.001
95. Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression model M. Ben Alaya et al. 10.1007/s00382-015-2908-3
96. Nonlinear time series analysis of palaeoclimate proxy records N. Marwan et al. 10.1016/j.quascirev.2021.107245
97. Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas A. Möller et al. 10.1002/qj.2009
98. Parametric models for distributions when interest is in extremes with an application to daily temperature M. Stein 10.1007/s10687-020-00378-z
99. Conditional simulation of remotely sensed rainfall data using a non-Gaussian v-transformed copula A. AghaKouchak et al. 10.1016/j.advwatres.2010.02.010
100. Assessing probabilistic wind load effects via a multivariate extreme wind speed model: A unified framework to consider directionality and uncertainty X. Zhang & X. Chen 10.1016/j.jweia.2015.09.002
101. Probabilistic Gaussian Copula Regression Model for Multisite and Multivariable Downscaling M. Ben Alaya et al. 10.1175/JCLI-D-13-00333.1
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103. D‐vine‐copula‐based postprocessing of wind speed ensemble forecasts D. Jobst et al. 10.1002/qj.4521
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105. Generating Nonnormal Multivariate Data Using Copulas: Applications to SEM P. Mair et al. 10.1080/00273171.2012.692629
106. Probabilistic assessment of regional climate change in Southwest Germany by ensemble dressing C. Schölzel & A. Hense 10.1007/s00382-010-0815-1
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110. Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
111. Implicit Copulas: An Overview M. Smith 10.1016/j.ecosta.2021.12.002
112. Bivariate bias correction of the regional climate model ensemble over the Adriatic region R. Sokol Jurković et al. 10.1002/joc.7564
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120. Multivariate density model comparison for multi-site flood-risk rainfall in the French Mediterranean area J. Carreau & C. Bouvier 10.1007/s00477-015-1166-6
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126. Flexible Lévy-Based Models for Time Series of Count Data with Zero-Inflation, Overdispersion, and Heavy Tails C. Kollie et al. 10.1155/2023/1780404
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128. Emulator For Eroded Beach And Dune Profiles Due To Storms A. Gharagozlou et al. 10.1029/2022JF006620
129. Analysis of the Parametric Correlation in Mathematical Modeling of In Vitro Glioblastoma Evolution Using Copulas J. Ayensa-Jiménez et al. 10.3390/math9010027
130. Multivariate ensemble Model Output Statistics using empirical copulas D. Wilks 10.1002/qj.2414
131. A v-transformed copula-based simulation model for lithological classification in an Indian copper deposit K. Dinda et al. 10.1038/s41598-022-24233-2
132. Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling R. Schefzik et al. 10.1214/13-STS443
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137. Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure K. Schneeberger & T. Steinberger 10.3390/hydrology5010005
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144. The use of copula functions for predictive analysis of correlations between extreme storm tides K. Domino et al. 10.1016/j.physa.2014.07.020
145. Bivariate return periods of temperature and precipitation explain a large fraction of European crop yields J. Zscheischler et al. 10.5194/bg-14-3309-2017
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147. Modeling the Interdependence Structure between Rain and Radar Variables Using Copulas: Applications to Heavy Rainfall Estimation by Weather Radar E. Zahiri et al. 10.3390/atmos13081298
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151. Copula-based joint distribution analysis of the ENSO effect on the drought indicators over Borneo fire-prone areas M. Najib et al. 10.1007/s40808-021-01267-5
152. Managing soil natural capital: An effective strategy for mitigating future agricultural risks? R. Cong et al. 10.1016/j.agsy.2014.05.003
153. Joint distribution of temperature and precipitation in the Mediterranean, using the Copula method G. Lazoglou & C. Anagnostopoulou 10.1007/s00704-018-2447-z
154. Accounting for correlational structures in stochastic comparative life cycle assessments through copula modeling R. Gil et al. 10.1007/s11367-020-01859-w
155. Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M. Flach et al. 10.5194/esd-8-677-2017
156. Integrating Entropy and Copula Theories for Hydrologic Modeling and Analysis Z. Hao & V. Singh 10.3390/e17042253
157. Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies T. Nguyen-Huy et al. 10.1007/s00477-019-01662-6
158. Making the Output of Seasonal Climate Models More Palatable to Agriculture: A Copula-Based Postprocessing Method M. Li et al. 10.1175/JAMC-D-19-0093.1
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168. Harmonics, evolutionary generators, DANCE, and HEAR—functional dimensions J. Furze & E. Mayad 10.1007/s11356-021-13159-3
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