PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of the Korean Society of Hazard Mitigation10.9798/kosham.2021.21.4.120212141-12Hierarchical Bayesian Model for Assessing Extreme Daily Rainfall Through Combining Climatic and Topographic InformationJeonghoon Lee, Jeongeun Won, Jeonghyeon Choi, Sangda Kimhttp://j-kosham.or.kr/upload/pdf/KOSHAM-2021-21-4-1.pdf, http://j-kosham.or.kr/journal/view.php?doi=10.9798/KOSHAM.2021.21.4.1, http://j-kosham.or.kr/upload/pdf/KOSHAM-2021-21-4-1.pdf
Journal of Hydrology10.1016/j.jhydrol.2017.09.0032017554137-154Bayesian estimation of extreme flood quantiles using a rainfall-runoff model and a stochastic daily rainfall generatorVeber Costa, Wilson Fernandeshttps://api.elsevier.com/content/article/PII:S0022169417306017?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0022169417306017?httpAccept=text/plain
Water Resources Research10.1029/2008wr0074852009457Hierarchical Bayesian modeling of multisite daily rainfall occurrence: Rainy season onset, peak, and endC. H. R. Lima, U. Lallhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2008WR007485, https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2008WR007485, http://onlinelibrary.wiley.com/wol1/doi/10.1029/2008WR007485/fullpdf
10.5194/hessd-5-3033-20082008Bayesian objective classification of extreme UK daily rainfall for flood risk applicationsM. A. Little, H. J. E. Rodda, P. E. McSharryhttps://hess.copernicus.org/preprints/5/3033/2008/hessd-5-3033-2008.pdf
Water10.3390/w1208221120201282211Integrating Climatic and Physical Information in a Bayesian Hierarchical Model of Extreme Daily PrecipitationCharlotte Love, Brian Skahill, John England, Gregory Karlovits, Angela Duren, Amir AghaKouchakhttps://www.mdpi.com/2073-4441/12/8/2211/pdf
Climatic Change10.1007/s10584-013-0760-120131193-4603-615Combining climatological and participatory approaches for assessing changes in extreme climatic indices at regional scaleNeha Mittal, Ashok Mishra, Rajendra Singhhttp://link.springer.com/content/pdf/10.1007/s10584-013-0760-1.pdf, http://link.springer.com/article/10.1007/s10584-013-0760-1/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10584-013-0760-1
Journal of Hydrology10.1016/j.jhydrol.2021.1263172021599126317A Bernoulli-Gamma hierarchical Bayesian model for daily rainfall forecastsCarlos H.R. Lima, Hyun-Han Kwon, Yong-Tak Kimhttps://api.elsevier.com/content/article/PII:S0022169421003644?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0022169421003644?httpAccept=text/plain
Water Resources Research10.1029/2012wr0125572013491187-201Battle of extreme value distributions: A global survey on extreme daily rainfallSimon Michael Papalexiou, Demetris Koutsoyiannishttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2012WR012557, https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2012WR012557, http://onlinelibrary.wiley.com/wol1/doi/10.1029/2012WR012557/fullpdf
Climatic Change10.1007/s10584-016-1749-320161392169-181China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian modelXiao-Chen Yuan, Xun Sun, Upmanu Lall, Zhi-Fu Mi, Jun He, Yi-Ming Weihttp://link.springer.com/content/pdf/10.1007/s10584-016-1749-3.pdf, http://link.springer.com/article/10.1007/s10584-016-1749-3/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10584-016-1749-3.pdf
Climatic Change10.1007/s10584-017-2048-320171442131-142Assessing climate change impacts on extreme weather events: the case for an alternative (Bayesian) approachMichael E. Mann, Elisabeth A. Lloyd, Naomi Oreskeshttp://link.springer.com/article/10.1007/s10584-017-2048-3/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10584-017-2048-3.pdf, http://link.springer.com/content/pdf/10.1007/s10584-017-2048-3.pdf