330 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR67 papers
- Mathématiques Appliquées à Paris 5FR54 papers
- Sorbonne Paris CitéFR25 papers
- Université Paris CitéFR17 papers
- Délégation Paris 5FR9 papers
- Laboratoire Psychologie de la PerceptionFR9 papers
- Sorbonne UniversitéFR9 papers
- Université Paris DiderotFR9 papers
- InsermFR8 papers
- Université Pierre-et-Marie-CurieFR8 papers
- École Normale Supérieure - PSLFR7 papers
- Université Paris NanterreFR7 papers
5 papers · 1 filter
On the first k moments of the random count of a pattern in a multi-states sequence generated by a Markov source
Grégory Nuel
In this paper, we develop an explicit formula allowing to compute the first k moments of the random count of a pattern in a multi-states sequence generated by a Markov source. We d…
Redundant variables and Granger causality
L. Angelini, M. de Tommaso, D. Marinazzo +3
We discuss the use of multivariate Granger causality in presence of redundant variables: the application of the standard analysis, in this case, leads to under-estimation of causal…
Finite-temperature local protein sequence alignment: percolation and free-energy distribution
S Wolfsheimer, O Melchert, AK Hartmann
Sequence alignment is a tool in bioinformatics that is used to find homological relationships in large molecular databases. It can be mapped on the physical model of directed polym…
Approaching criticality via the zero dissipation limit in the abelian avalanche model
Antal A. Járai, Frank Redig, Ellen Saada
The discrete height abelian sandpile model was introduced by Bak, Tang & Wiesenfeld and Dhar as an example for the concept of self-organized criticality. When the model is modified…
Risk Bounds for CART Classifiers under a Margin Condition
Servane Gey
Risk bounds for Classification and Regression Trees (CART, Breiman et. al. 1984) classifiers are obtained under a margin condition in the binary supervised classification framework…