Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kadhim, Ali Al"'
Autor:
Kadhim, Ali Al, Prosper, Harrison B.
Simulation-based inference methods that feature correct conditional coverage of confidence sets based on observations that have been compressed to a scalar test statistic require accurate modeling of either the p-value function or the cumulative dist
Externí odkaz:
http://arxiv.org/abs/2405.02488
High-fidelity simulators that connect theoretical models with observations are indispensable tools in many sciences. When coupled with machine learning, a simulator makes it possible to infer the parameters of a theoretical model directly from real a
Externí odkaz:
http://arxiv.org/abs/2306.07769
Publikováno v:
Journal Of Babylon Center For Humanities Studies, Vol 11, Iss 2, Pp 479-516 (2021)
According to the study, Russia's basic problem is that it is isolated and far from international trade and navigation. It has no coasts except on the Arctic Ocean, an ice sea whose waters are frozen most of the year, and the Baltic Sea and the Black
Externí odkaz:
https://doaj.org/article/fde01f13f9f24afa855018fa53d13b43
High-fidelity simulators that connect theoretical models with observations are indispensable tools in many sciences. When coupled with machine learning, a simulator makes it possible to infer the parameters of a theoretical model directly from real a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5b7b6c8ef22935f2ba033451fd85468
Autor:
Hayyawi Wewa Al-Jutheri, Ayad Kadhim Ali Al-Husseni, Hussein M. Khaeim, Luma Abdalalah Sagban Alabadi
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 735:012054
The sediments of the Sawa lake surrounded area, southern Iraq, have unique proprieties that are interesting to researchers. Four sites located at varying distances from the lake were selected to study some of the properties of the lake sediment. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26698e1b3c2d598d7498a8470bbd13d5
https://doi.org/10.1088/1755-1315/735/1/012054
https://doi.org/10.1088/1755-1315/735/1/012054