SEVER 发表于 2025-3-25 05:12:53
http://reply.papertrans.cn/95/9412/941107/941107_21.pngVertebra 发表于 2025-3-25 08:38:35
http://reply.papertrans.cn/95/9412/941107/941107_22.png拥挤前 发表于 2025-3-25 11:39:04
Uncertainty Quantification with R978-3-031-48208-3Series ISSN 0884-8289 Series E-ISSN 2214-7934STYX 发表于 2025-3-25 17:15:06
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/u/image/941107.jpgBRIEF 发表于 2025-3-25 20:02:54
http://reply.papertrans.cn/95/9412/941107/941107_25.png正常 发表于 2025-3-26 01:30:35
http://reply.papertrans.cn/95/9412/941107/941107_26.png切碎 发表于 2025-3-26 06:09:01
Eduardo Souza de CursiPresents Bayesian techniques for uncertainty quantification.Uses R to solve complex, multivariate problems.Emphasizes practical applications of uncertainty quantification techniques for management and证明无罪 发表于 2025-3-26 11:04:23
http://reply.papertrans.cn/95/9412/941107/941107_28.png灾祸 发表于 2025-3-26 15:17:09
Beliefs, in terms of degrees of belief. The basic notions are presented, with their implementation in R. It also explores the connections between beliefs and probabilities. Programs in R implement all the elements introduced, and their use is exemplified.narcissism 发表于 2025-3-26 18:20:42
Maximum Entropy,stochastic processes by Karhunen-Loève expansions is presented, including their combination with Hilbert’s approach of uncertainty quantification. Implementations in R are given, and their use is exemplified.