Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Kitsios, Vassili"'
Turbulence is the most important, ubiquitous, and difficult problem of classical physics. Feynman viewed it as essentially unsolved, without a rigorous mathematical basis to describe the statistical dynamics of this most complex of fluid motion. Howe
Externí odkaz:
http://arxiv.org/abs/2407.10085
We study the problem of automatically discovering Granger causal relations from observational multivariate time-series data.Vector autoregressive (VAR) models have been time-tested for this problem, including Bayesian variants and more recent develop
Externí odkaz:
http://arxiv.org/abs/2402.03614
Autor:
Bonilla, Edwin V., Elinas, Pantelis, Zhao, He, Filippone, Maurizio, Kitsios, Vassili, O'Kane, Terry
Estimating the structure of a Bayesian network, in the form of a directed acyclic graph (DAG), from observational data is a statistically and computationally hard problem with essential applications in areas such as causal discovery. Bayesian approac
Externí odkaz:
http://arxiv.org/abs/2402.02644
Publikováno v:
In Journal of Climate Finance June 2024 7
The prediction of turbulent boundary layer (TBL) flow over a convex surface as in aircraft wings or gas turbine blades is a challenging problem. Finding a universal scaling law of turbulence statistics of TBLs over a wide range of adverse pressure gr
Externí odkaz:
http://arxiv.org/abs/1912.05143
Publikováno v:
In Heart, Lung and Circulation January 2023 32(1):95-104
Autor:
O’Kane, Terence J., Sandery, Paul A., Kitsios, Vassili, Sakov, Pavel, Chamberlain, Matthew A., Squire, Dougal T., Collier, Mark A., Chapman, Christopher C., Fiedler, Russell, Harries, Dylan, Moore, Thomas S., Richardson, Doug, Risbey, James S., Schroeter, Benjamin J. E., Schroeter, Serena, Sloyan, Bernadette M., Tozer, Carly, Watterson, Ian G., Black, Amanda, Quinn, Courtney, Matear, Richard J.
Publikováno v:
Journal of Climate, 2021 Jul 01. 34(13), 5171-5194.
Externí odkaz:
https://www.jstor.org/stable/27076879
Autor:
O’Kane, Terence J., Sandery, Paul A., Kitsios, Vassili, Sakov, Pavel, Chamberlain, Matthew A., Collier, Mark A., Fiedler, Russell, Moore, Thomas S., Chapman, Christopher C., Sloyan, Bernadette M., Matear, Richard J.
Publikováno v:
Journal of Climate, 2021 Jul 01. 34(13), 5153-5169.
Externí odkaz:
https://www.jstor.org/stable/27076878
Autor:
Kitsios, Vassili, Sekimoto, Atsushi, Atkinson, Callum, Sillero, Juan A., Borrell, Guillem, Gungor, Ayse G., Jiménez, Javier, Soria, Julio
The statistical properties are presented for the direct numerical simulation (DNS) of a self-similar adverse pressure gradient (APG) turbulent boundary layer (TBL) at the verge of separation. The APG TBL has a momentum thickness based Reynolds number
Externí odkaz:
http://arxiv.org/abs/1708.03039
Autor:
O’Kane, Terence J., Squire, Dougal T., Sandery, Paul A., Kitsios, Vassili, Matear, Richard J., Moore, Thomas S., Risbey, James S., Watterson, Ian G.
Publikováno v:
Journal of Climate, 2020 Mar . 33(6), 2281-2293.
Externí odkaz:
https://www.jstor.org/stable/26916861