Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Morettin, Pedro Alberto"'
This work proposes a new procedure for estimating the non-stationary spatial covariance function for Spatial-Temporal Deformation. The proposed procedure is based on a monotonic function approach. The deformation functions are expanded as a linear co
Externí odkaz:
http://arxiv.org/abs/2305.02489
The spatio-temporal autoregressive moving average (STARMA) model is frequently used in several studies of multivariate time series data, where the assumption of stationarity is important, but it is not always guaranteed in practice. One way to procee
Externí odkaz:
http://arxiv.org/abs/2304.06110
Autor:
Sato, João Ricardo, Mourão-Miranda, Janaina, Morais Martin, Maria da Graça, Amaro, Edson, Jr., Morettin, Pedro Alberto, Brammer, Michael John
Publikováno v:
In Journal of Neuroscience Methods 2008 172(1):94-104
Autor:
Morettin, Pedro Alberto
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::d8211104079ff0348489ba676bc56bb2
http://www.rbes.ibge.gov.br/images/doc/rbe_245jul_dez2020.pdf
http://www.rbes.ibge.gov.br/images/doc/rbe_245jul_dez2020.pdf
Autor:
Sato, João Ricardo, Junior, Edson Amaro, Takahashi, Daniel Yasumasa, de Maria Felix, Marcelo, Brammer, Michael John, Morettin, Pedro Alberto
Publikováno v:
In Neuroimage 2006 31(1):187-196
Publikováno v:
In Statistics and Probability Letters February 2019 145:260-267
Autor:
Morettin, Pedro Alberto
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::6d8490486066f7e5e26227e40a81cbdb
https://repositorio.usp.br/item/003081804
https://repositorio.usp.br/item/003081804
Autor:
Morettin, Pedro Alberto
O texto é adequado a estudantes de várias áreas do conhecimento: estatística, matemática, engenharia, economia, finanças, oceanografia, meteorologia, etc. São descritos modelos e procedimentos para a análise de séries temporais que ocorrem n
Publikováno v:
Journal of Risk & Financial Management; Feb2020, Vol. 13 Issue 2, p1-19, 19p, 1 Chart, 12 Graphs