PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of Systematics and Evolution10.1111/j.1759-6831.2012.00236.x201251130-43The unbearable uncertainty of Bayesian divergence time estimationMario DOS REIS, Ziheng YANGhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1759-6831.2012.00236.x
Journal of Systematics and Evolution10.1002/jse.2362012n/a-n/aThe unbearable uncertainty of Bayesian divergence time estimationMario DOS REIS, Ziheng YANGhttp://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjse.236, https://onlinelibrary.wiley.com/doi/full/10.1002/jse.236
PLOS ONE10.1371/journal.pone.02504172021164e0250417Predicting regional influenza epidemics with uncertainty estimation using commuting data in JapanTaichi Murayama, Nobuyuki Shimizu, Sumio Fujita, Shoko Wakamiya, Eiji Aramakihttps://dx.plos.org/10.1371/journal.pone.0250417
Methods in Ecology and Evolution10.1111/2041-210x.12032201345442-452Estimating consensus and associated uncertainty between inherently different species distribution modelsEmmanuel S. Gritti, Anne Duputié, Francois Massol, Isabelle Chuinehttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F2041-210X.12032, http://onlinelibrary.wiley.com/wol1/doi/10.1111/2041-210X.12032/fullpdf
ASME 2020 14th International Conference on Energy Sustainability10.1115/es2020-16492020Uncertainty in Predicting the Start-Up Time and Losses for a High Temperature Particle Receiver due to Solar Resource VariabilityMuhammad M. Rafique, Graham Nathan, Woei Sawhttp://asmedigitalcollection.asme.org/ES/proceedings-pdf/doi/10.1115/ES2020-1649/6565045/v001t02a007-es2020-1649.pdf, http://asmedigitalcollection.asme.org/ES/proceedings-pdf/doi/10.1115/ES2020-1649/6565045/v001t02a007-es2020-1649.pdf
Climatic Change10.1007/s10584-015-1503-220151341-2327-339Predicting potential epidemics of rice diseases in Korea using multi-model ensembles for assessment of climate change impacts with uncertainty informationKwang-Hyung Kim, Jaepil Chohttp://link.springer.com/content/pdf/10.1007/s10584-015-1503-2.pdf, http://link.springer.com/article/10.1007/s10584-015-1503-2/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10584-015-1503-2
Epidemics10.1016/j.epidem.2014.01.0012014735Erratum to “Virus-induced target cell activation reconciles set-point viral load heritability and within-host evolution” [Epidemics (2013) 174–180]https://api.elsevier.com/content/article/PII:S1755436514000024?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1755436514000024?httpAccept=text/plain
Value in Health10.1016/j.jval.2010.10.0022011141202-203Uncertainty analysis is inherently BayesianJohn W. Stevenshttps://api.elsevier.com/content/article/PII:S1098301510000033?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1098301510000033?httpAccept=text/plain
Evolutionary Economics and Social Complexity Science10.1007/978-981-13-9337-2_82019107-132Prey-Predator Models Revisited: Uncertainty, Herd Instinct, Fear, Limited Food, Epidemics, Evolution, and CompetitionStanislaw Raczynskihttp://link.springer.com/content/pdf/10.1007/978-981-13-9337-2_8
Physical Review E10.1103/physreve.91.0428112015914Time evolution of predictability of epidemics on networksPetter Holme, Taro Takaguchihttp://link.aps.org/article/10.1103/PhysRevE.91.042811, http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.91.042811/fulltext