185 citations as recorded by crossref.

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2. Evaluation of gridded climate datasets over Canada using univariate and bivariate approaches: Implications for hydrological modelling H. Singh & M. Reza Najafi 10.1016/j.jhydrol.2020.124673
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14. Modeling and application of industrial process fault detection based on pruning vine copula J. Wan & S. Li 10.1016/j.chemolab.2018.11.005
15. Assessing the hydrodynamic boundary conditions for risk analyses in coastal areas: a multivariate statistical approach based on Copula functions T. Wahl et al. 10.5194/nhess-12-495-2012
16. Compound Extremes in Hydroclimatology: A Review Z. Hao et al. 10.3390/w10060718
17. Estimation of bivariate probability distributions of nanoparticle characteristics, based on univariate measurements O. Furat et al. 10.1080/17415977.2020.1849181
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21. Improving early-season wheat yield forecasts driven by probabilistic seasonal climate forecasts H. Jin et al. 10.1016/j.agrformet.2022.108832
22. Monitoring Test for Stability of Dependence Structure in Multivariate Data Based on Copula J. Lee & B. Kim 10.3390/e18120457
23. Interactive Visualization and Computation of 2D and 3D Probability Distributions M. Bobrovnikov et al. 10.1007/s42979-022-01206-w
24. Strategic decision-support modeling for robust management of the food–energy–water nexus under uncertainty J. Gao et al. 10.1016/j.jclepro.2021.125995
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26. Software development to predict the level of paddy production using Gaussian Copula Marginal Regression G. Goldestan et al. 10.1088/1742-6596/1218/1/012047
27. Cross-Sectional Learning of Extremal Dependence Among Financial Assets X. Yan et al. 10.2139/ssrn.3396238
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29. An Incremental Clustering-Based Fault Detection Algorithm for Class-Imbalanced Process Data . Jueun Kwak et al. 10.1109/TSM.2015.2445380
30. 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
31. 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
32. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
33. Holocene climate variability in the Levant from the Dead Sea pollen record T. Litt et al. 10.1016/j.quascirev.2012.06.012
34. Idealized models of the joint probability distribution of wind speeds A. Monahan 10.5194/npg-25-335-2018
35. An Upper Limit to Youth Psychotherapy Benefit? A Meta-Analytic Copula Approach to Psychotherapy Outcomes P. Jones et al. 10.1177/2167702619858424
36. Is southwestern China experiencing more frequent precipitation extremes? M. Liu et al. 10.1088/1748-9326/9/6/064002
37. Quantifying the joint distribution of drought indicators in Borneo fire-prone area M. Najib et al. 10.1088/1755-1315/880/1/012002
38. Copula-based approximation of particle breakage as link between DEM and PBM A. Spettl et al. 10.1016/j.compchemeng.2017.01.023
39. 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
40. A strategy to effectively make use of large volumes of climate data for climate change adaptation R. Benestad et al. 10.1016/j.cliser.2017.06.013
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42. Power outages and firm performance in Sub-Saharan Africa M. Cole et al. 10.1016/j.jdeveco.2018.05.003
43. A pathway for multivariate analysis of ecological communities using copulas M. Anderson et al. 10.1002/ece3.4948
44. 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
45. Seasonal copula models for the analysis of glacier discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-016-1217-7
46. Probabilistic spatial prediction of categorical data using elliptical copulas X. Huang & Z. Wang 10.1007/s00477-017-1485-x
47. AnaWEGE: a weather generator based on analogues of atmospheric circulation P. Yiou 10.5194/gmd-7-531-2014
48. Projecting changes in regional temperature and precipitation extremes in the United States J. Schoof & S. Robeson 10.1016/j.wace.2015.09.004
49. Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R2D2) bias correction M. Vrac 10.5194/hess-22-3175-2018
50. 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
51. An Examination of Tail Dependence in Bordeaux Futures Prices and Parker Ratings D. Cyr et al. 10.1017/jwe.2017.18
52. 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
53. 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
54. Minimum temperature mapping with spatial copula interpolation P. Bostan et al. 10.1016/j.spasta.2020.100464
55. 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
56. Measured and modeled spatial rain rate correlation to improve the prediction method for satellite site diversity T. Tjelta et al. 10.1002/2014RS005476
57. Vulnerability of hop‐yields due to compound drought and heat events over European key‐hop regions V. Potopová et al. 10.1002/joc.6836
58. Copula-based stochastic uncertainty analysis of satellite precipitation products E. Sharifi et al. 10.1016/j.jhydrol.2019.01.035
59. 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
60. A Similarity-Based Implementation of the Schaake Shuffle R. Schefzik 10.1175/MWR-D-15-0227.1
61. Design Flood Volume of the Three Gorges Dam Project D. Liu et al. 10.1061/(ASCE)HE.1943-5584.0000287
62. Bayesian sequential design for Copula models S. Senarathne et al. 10.1007/s11749-019-00661-7
63. Assessing Hydrologic Uncertainty Processor Performance for Flood Forecasting in a Semiurban Watershed S. Han et al. 10.1061/(ASCE)HE.1943-5584.0001828
64. Investigation of multivariate pairs trading under copula approach with mixture distribution F. He et al. 10.1016/j.amc.2024.128635
65. The distribution of Kendall's tau for testing the significance of cross-correlation in persistent data K. Hamed 10.1080/02626667.2011.586948
66. Ensemble Model Output Statistics for Wind Vectors N. Schuhen et al. 10.1175/MWR-D-12-00028.1
67. 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
68. Interdependence between temperature and precipitation: modeling using copula method toward climate protection B. Hussain et al. 10.1007/s40808-021-01256-8
69. 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
70. A physiographic approach to downscaling fractional snow cover data in mountainous regions R. Walters et al. 10.1016/j.rse.2014.07.001
71. A new method for wind speed forecasting based on copula theory Y. Wang et al. 10.1016/j.envres.2017.09.034
72. Climate change‐induced impacts on urban flood risk influenced by concurrent hazards A. Pedersen et al. 10.1111/j.1753-318X.2012.01139.x
73. Spatial extreme modeling using student t copula approach in Ngawi Regency M. Fauziyah et al. 10.1088/1742-6596/1538/1/012051
74. 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
75. The contribution of climate drivers to compound drought and extreme temperature events increased in recent decades S. Li et al. 10.1016/j.wace.2025.100793
76. Heterogeneous spatiotemporal copula‐based kriging for air pollution prediction J. Wang et al. 10.1111/tgis.12823
77. Selecting and estimating regular vine copulae and application to financial returns J. Dißmann et al. 10.1016/j.csda.2012.08.010
78. Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment E. Simon & L. Bertino 10.5194/os-5-495-2009
79. Analysis of Reserves in Multiple Life Insurance using Copula I. Lee et al. 10.5351/CSAM.2014.21.1.023
80. Entropy–Copula in Hydrology and Climatology A. AghaKouchak 10.1175/JHM-D-13-0207.1
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82. Impedance Response Influenced by Variability in the Random Distribution of Physical Properties of Coated Materials in Two-Dimensional Space S. Cho et al. 10.1149/1945-7111/acf1d0
83. Time of emergence of compound events: contribution of univariate and dependence properties B. François & M. Vrac 10.5194/nhess-23-21-2023
84. A method for preferential selection of dates in the Schaake shuffle approach to constructing spatiotemporal forecast fields of temperature and precipitation M. Scheuerer et al. 10.1002/2016WR020133
85. Statistical modelling of extreme storms using copulas: A comparison study F. Li et al. 10.1016/j.coastaleng.2018.09.007
86. 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
87. Construction of combined drought index based on bivariate joint distribution Y. Li et al. 10.1016/j.aej.2021.01.006
88. Using Vine Copulas to Generate Representative System States for Machine Learning I. Konstantelos et al. 10.1109/TPWRS.2018.2859367
89. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al. 10.1002/wat2.1246
90. Functional Enrichment of Utopian Distribution of Plant Life-Forms J. Furze et al. 10.4236/ajps.2013.412A1006
91. 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
92. Dynamic Copula Processes A. Galli et al. 10.2139/ssrn.1616503
93. Mixture of D-vine copulas for modeling dependence D. Kim et al. 10.1016/j.csda.2013.02.018
94. Virtual Storage-Based Model for Estimation of Economic Benefits of Electric Vehicles in Renewable Portfolios J. Vasilj et al. 10.3390/en13092315
95. 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
96. Joint statistical models for significant wave height and wave period in a changing climate E. Vanem 10.1016/j.marstruc.2016.06.001
97. Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression model M. Ben Alaya et al. 10.1007/s00382-015-2908-3
98. Nonlinear time series analysis of palaeoclimate proxy records N. Marwan et al. 10.1016/j.quascirev.2021.107245
99. Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas A. Möller et al. 10.1002/qj.2009
100. Parametric models for distributions when interest is in extremes with an application to daily temperature M. Stein 10.1007/s10687-020-00378-z
101. 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
102. 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
103. Probabilistic Gaussian Copula Regression Model for Multisite and Multivariable Downscaling M. Ben Alaya et al. 10.1175/JCLI-D-13-00333.1
104. The spatial structure of European wind storms as characterized by bivariate extreme-value Copulas A. Bonazzi et al. 10.5194/nhess-12-1769-2012
105. D‐vine‐copula‐based postprocessing of wind speed ensemble forecasts D. Jobst et al. 10.1002/qj.4521
106. Mixture of D-Vine copulas for chemical process monitoring W. Zheng et al. 10.1016/j.chemolab.2017.08.002
107. Generating Nonnormal Multivariate Data Using Copulas: Applications to SEM P. Mair et al. 10.1080/00273171.2012.692629
108. Probabilistic assessment of regional climate change in Southwest Germany by ensemble dressing C. Schölzel & A. Hense 10.1007/s00382-010-0815-1
109. Changes in Large Lake Water Level Dynamics in Response to Climate Change A. VanDeWeghe et al. 10.3389/frwa.2022.805143
110. Vine copula models for predicting water flow discharge at King George Island, Antarctica M. Gómez et al. 10.1007/s00477-018-1599-9
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112. Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh 10.1177/0309133316632460
113. Implicit Copulas: An Overview M. Smith 10.1016/j.ecosta.2021.12.002
114. Bivariate bias correction of the regional climate model ensemble over the Adriatic region R. Sokol Jurković et al. 10.1002/joc.7564
115. Compound summer temperature and precipitation extremes over central Europe K. Sedlmeier et al. 10.1007/s00704-017-2061-5
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118. Detecting and modeling critical dependence structures between random inputs of computer models N. Benoumechiara et al. 10.1515/demo-2020-0016
119. Generation of realistic virtual adult populations using a model-based copula approach Y. Guo et al. 10.1007/s10928-024-09929-4
120. Time-variant reliability assessment for bridge structures based on deep learning and regular vine copula models Q. Xiao et al. 10.1016/j.measurement.2024.115253
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122. 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
123. Interdependency analysis between precipitation and temperature in Bangladesh: a copula-based approach M. Prodhan & M. Islam 10.1007/s00704-024-05297-8
124. Windblown sand saltation: A statistical approach to fluid threshold shear velocity L. Raffaele et al. 10.1016/j.aeolia.2016.10.002
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128. 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
129. Speech signal modeling using multivariate distributions A. Aroudi et al. 10.1186/s13636-015-0078-1
130. Emulator For Eroded Beach And Dune Profiles Due To Storms A. Gharagozlou et al. 10.1029/2022JF006620
131. Analysis of the Parametric Correlation in Mathematical Modeling of In Vitro Glioblastoma Evolution Using Copulas J. Ayensa-Jiménez et al. 10.3390/math9010027
132. Multivariate ensemble Model Output Statistics using empirical copulas D. Wilks 10.1002/qj.2414
133. 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
134. Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling R. Schefzik et al. 10.1214/13-STS443
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147. 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
148. 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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150. 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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153. Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. 10.1016/j.jmarsys.2016.12.003
154. 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
155. Managing soil natural capital: An effective strategy for mitigating future agricultural risks? R. Cong et al. 10.1016/j.agsy.2014.05.003
156. Joint distribution of temperature and precipitation in the Mediterranean, using the Copula method G. Lazoglou & C. Anagnostopoulou 10.1007/s00704-018-2447-z
157. Accounting for correlational structures in stochastic comparative life cycle assessments through copula modeling R. Gil et al. 10.1007/s11367-020-01859-w
158. Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M. Flach et al. 10.5194/esd-8-677-2017
159. Integrating Entropy and Copula Theories for Hydrologic Modeling and Analysis Z. Hao & V. Singh 10.3390/e17042253
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161. 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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171. Harmonics, evolutionary generators, DANCE, and HEAR—functional dimensions J. Furze & E. Mayad 10.1007/s11356-021-13159-3
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