Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Hossein Kavianihamedani"'
Publikováno v:
IEEE Access, Vol 12, Pp 42385-42400 (2024)
Markov Chain Monte Carlo (MCMC) is a robust statistical approach for estimating posterior distributions. However, the significant computational cost associated with MCMC presents a considerable challenge, complicating the selection of an appropriate
Externí odkaz:
https://doaj.org/article/a467c4989d474bc7986e828720685875
Hydrologic models often are used to estimate streamflows at ungauged locations for infrastructure planning. These models can contain a multitude of parameters that themselves need to be estimated through calibration. Yet multiple sets of parameter va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf3bacef404cddc98bcb6742baacd505
https://doi.org/10.5194/egusphere-egu23-10326
https://doi.org/10.5194/egusphere-egu23-10326
