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20012025
most citedInterpreting Compton anisotropy of ice Ih: a cluster partitioning method

29 citations

5 papers

q-fin.CP2025

Economic uncertainty and exchange rates linkage revisited: modelling tail dependence with high frequency data

Nourhaine Nefzi, Abir Abid

The aim of this paper is to dig deeper into understanding the exchange rates and uncertainty dependence. Using the novel Baker et al. (2020)'s daily Twitter Uncertainty Index and B…

cs.NE2024

A Survey on Recent Advances in Self-Organizing Maps

Axel Guérin, Pierre Chauvet, Frédéric Saubion

Self-organising maps are a powerful tool for cluster analysis in a wide range of data contexts. From the pioneer work of Kohonen, many variants and improvements have been proposed.…

stat.AP2021★ 1 cited

A Bayesian network model for predicting cardiovascular risk

J. M. Ordovas, D. Rios Insua, A. Santos-Lozano +4

We propose a Bayesian network model to make inferences and predictions about cardiovascular risk. Both the structure and the probability tables in the underlying model are built us…

physics.chem-ph2001★ 3 cited

Angular versus radial correlation effects on momentum distributions of light two-electron ions

Sebastien Ragot, Jean-Michel Gillet, Pierre J. Becker

We investigate different correlation mechanisms for two-electron systems and compare their respective effects on various electron distributions. The simplicity of the wave function…

physics.chem-ph2001★ 29 cited

Interpreting Compton anisotropy of ice Ih: a cluster partitioning method

Sebastien Ragot, Jean-Michel Gillet, Pierre J. Becker

We propose a simple cluster-based method with application to calculations of Compton profile anisotropies of ice. The convergence of the method is checked with respect to Crystal95…