Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mert Esencan"'
Autor:
Elton Yechao Zhu, Sonika Johri, Dave Bacon, Mert Esencan, Jungsang Kim, Mark Muir, Nikhil Murgai, Jason Nguyen, Neal Pisenti, Adam Schouela, Ksenia Sosnova, Ken Wright
Publikováno v:
Physical Review Research, Vol 4, Iss 4, p 043092 (2022)
Modeling joint probability distributions is an important task in a wide variety of fields. One popular technique for this employs a family of multivariate distributions with uniform marginals called copulas. While the theory of modeling joint distrib
Externí odkaz:
https://doaj.org/article/54580ea78409486ab3de720c4ef1a91d
Autor:
Elton Yechao Zhu, Sonika Johri, Dave Bacon, Mert Esencan, Jungsang Kim, Mark Muir, Nikhil Murgai, Jason Nguyen, Neal Pisenti, Adam Schouela, Ksenia Sosnova, Ken Wright
Modeling joint probability distributions is an important task in a wide variety of fields. One popular technique for this employs a family of multivariate distributions with uniform marginals called copulas. While the theory of modeling joint distrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03a3bb372428891cfdb66e0ebb8c2b28
http://arxiv.org/abs/2109.06315
http://arxiv.org/abs/2109.06315
