Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Thierry Huillet"'
Autor:
Thierry Huillet, Martin Möhle
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 9, Iss 1, Pp 17-43 (2021)
A class of Cannings models is studied, with population size N having a mixed multinomial offspring distribution with random success probabilities ${W_{1}},\dots ,{W_{N}}$ induced by independent and identically distributed positive random variables ${
Externí odkaz:
https://doaj.org/article/9f4281c653aa4a62b8243a67ac688feb
Publikováno v:
Royal Society Open Science, Vol 7, Iss 11 (2020)
Exact mathematical identities are presented between the relevant parameters of droplets displaying circular contact boundary based on flat tilted surfaces. Two of the identities are derived from the force balance, and one from the torque balance. The
Externí odkaz:
https://doaj.org/article/a008e0d008404731811575343d21f385
Autor:
Philippe Flajolet, Thierry Huillet
Publikováno v:
Discrete Mathematics & Theoretical Computer Science, Vol DMTCS Proceedings vol. AI,..., Iss Proceedings (2008)
The Mabinogion urn is a simple model of the spread of influences amongst versatile populations. It corresponds to a non-standard urn with balls of two colours: each time a ball is drawn, it causes a ball of the other kind to switch its colour. The pr
Externí odkaz:
https://doaj.org/article/f350d122af4949ae8ad777f055023e22
Publikováno v:
Advances in Applied Probability. 55:444-472
We consider continuous space–time decay–surge population models, which are semi-stochastic processes for which deterministically declining populations, bound to fade away, are reinvigorated at random times by bursts or surges of random sizes. In
Autor:
Thierry Huillet
Publikováno v:
Sankhya B. 84:722-764
For super-heated water on a substrate with hydrophobic patches immersed in a hydrophilic matrix, one can choose the temperature so that micro-bubbles will form, grow and merge on the hydrophobic patches and not on the hydrophilic matrix. Until coveri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69ce4292864bac7bc13c945b762ac555
http://arxiv.org/abs/2301.05582
http://arxiv.org/abs/2301.05582
Autor:
Martin Möhle, Thierry Huillet
Publikováno v:
Modern Stochastics: Theory and Applications
Modern Stochastics: Theory and Applications, VTEX, 2021, ⟨10.15559/21-VMSTA196⟩
Modern Stochastics: Theory and Applications, VTEX, 2021, ⟨10.15559/21-VMSTA196⟩
We study a class of Cannings models with population size $N$ having a mixed multinomial offspring distribution with random success probabilities $W_1,\ldots,W_N$ induced by independent and identically distributed positive random variables $X_1,X_2,\l
We revisit the random tree model with nearest-neighbour interaction as described in previous work, enhancing growth. When the underlying free Bienaym\'e-Galton-Watson (BGW) model is sub-critical, we show that the (non-Markov) model with interaction e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5c449e55a5d4f0482b33189bb31270b
http://arxiv.org/abs/2211.08826
http://arxiv.org/abs/2211.08826
Autor:
Branda Goncalves, Thierry Huillet
Publikováno v:
Journal of Statistical Physics
Journal of Statistical Physics, Springer Verlag, In press, ⟨10.1007/s10955-019-02439-5⟩
Journal of Statistical Physics, Springer Verlag, In press
Journal of Statistical Physics, Springer Verlag, In press, ⟨10.1007/s10955-019-02439-5⟩
Journal of Statistical Physics, Springer Verlag, In press
International audience; Catastrophe Markov chain population models have received a lot of attention in the recent past. We herewith consider two special cases of such models involving total disasters, both in discrete and in continuous-time. Dependin
Autor:
Thierry Huillet, Servet Martínez
Publikováno v:
Stochastics: An International Journal of Probability and Stochastic Processes
Stochastics: An International Journal of Probability and Stochastic Processes, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2021, ⟨10.1080/17442508.2021.1935949⟩
Stochastics: An International Journal of Probability and Stochastic Processes, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2021, ⟨10.1080/17442508.2021.1935949⟩
International audience; Lamperti's maximal branching process is revisited, with emphasis on the description of the shape of the invariant measures in both the recurrent and transient regimes. A truncated version of this chain is exhibited, preserving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08f79d85a876a1feee81b19437d2ca9d
https://hal.archives-ouvertes.fr/hal-02369758
https://hal.archives-ouvertes.fr/hal-02369758