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\\ ==== Prochaines séances ====
[[seminaires:SeminaireMod:index|Séminaire Modélisation et Probabilités]]\\
Mercredi 19 novembre 2025, 14 heures 15, Sophie Germain 1016\\
**Alice Contat**  //Non encore annoncé.//
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[[seminaires:SeminaireMod:index|Séminaire Modélisation et Probabilités]]\\
Mercredi 26 novembre 2025, 14 heures, Amphi Turing\\
**Milica Tomacevic** (CMAP Ecole polytechnique) //On a system of branching rank-based interacting particles//
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We study a branching particle system of diffusion processes on the real line interacting through their rank in the system. Namely, each particle follows an independent Brownian motion, but only K ≥ 1 particles on the far right are allowed to branch with constant rate, whilst the remaining particles have an additional positive drift of intensity χ > 0. This is the so called Go or Grow hypothesis, which serves as an elementary hypothesis to model cells in a capillary tube moving upwards a chemical gradient.

Despite the discontinuous character of the coefficients for the movement of particles and their demographic events, we first obtain the limit behavior of the population as K → ∞ by weighting the individuals by 1/K. Then, on the microscopic level when K is fixed, we investigate numerically the speed of propagation of the particles and recover a threshold behavior according to the parameter χ consistent with the already known behavior of the limit. Finally, by studying numerically the ancestral lineages we categorize the traveling fronts as pushed or pulled according to the critical parameter χ. This is a joint work with M. Demircigil (U. Arizona).
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Attention horaire et salle inhabituels - dans le cadre du Workshop Dynamics of Collective (Bio-)Systems: Mathematical Modelling and Applications

[[seminaires:SeminaireMod:index|Séminaire Modélisation et Probabilités]]\\
Mercredi 3 décembre 2025, 14 heures 15, Sophie Germain 1013\\
**Céline Lévy-Leduc** (LPSM) //Variable selection approaches in different models and their applications in life sciences//
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In this talk, I will present several variable selection approaches in different models motivated by questions arising in life sciences. Each of them will be illustrated through numerical experiments, compared to alternative methods and applied to the original data coming from the study.
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\\ ==== Séances passées ====
\\ === Année 2025 ===

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\\ === Année 2024 ===

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\\ === Année 2023 ===

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\\ === Année 2022 ===

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