Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Borgonovo, Emanuele"'
We evidence a family $\mathcal{X}$ of square matrices over a field $\mathbb{K}$, whose elements will be called X-matrices. We show that this family is shape invariant under multiplication as well as transposition. We show that $\mathcal{X}$ is a (in
Externí odkaz:
http://arxiv.org/abs/2403.17962
Owen and Hoyt recently showed that the effective dimension offers key structural information about the input-output mapping underlying an artificial neural network. Along this line of research, this work proposes an estimation procedure that allows t
Externí odkaz:
http://arxiv.org/abs/2207.04890
Publikováno v:
In European Journal of Operational Research 1 November 2024 318(3):911-926
Publikováno v:
In Finance Research Letters February 2024 60
Autor:
Borgonovo, Emanuele, Lu, Xuefei
Italy has been one of the first countries timewise strongly impacted by the COVID-19 pandemic. The adoption of social distancing and heavy lockdown measures is posing a heavy burden on the population and the economy. The timing of the measures has cr
Externí odkaz:
http://arxiv.org/abs/2005.01833
Shapley effects are attracting increasing attention as sensitivity measures. When the value function is the conditional variance, they account for the individual and higher order effects of a model input. They are also well defined under model input
Externí odkaz:
http://arxiv.org/abs/2002.12024
De Graaf et al. (2019) suggest that groundwater pumping will bring 42--79\% of worldwide watersheds close to environmental exhaustion by 2050. We are skeptical of these figures due to several non-unique assumptions behind the calculation of irrigatio
Externí odkaz:
http://arxiv.org/abs/1912.10814
Autor:
Borgonovo, Emanuele, author
Publikováno v:
The Politics of Modelling : Numbers Between Science and Policy, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780198872412.003.0005
Computer experiments are becoming increasingly important in scientific investigations. In the presence of uncertainty, analysts employ probabilistic sensitivity methods to identify the key-drivers of change in the quantities of interest. Simulation c
Externí odkaz:
http://arxiv.org/abs/1907.09424