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pro vyhledávání: '"Mincă A"'
Publikováno v:
In Tourism Management Perspectives July 2022 43
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Autor:
Tissier, Jean-Louis
Publikováno v:
Annales de Géographie, 2018 Sep 01. 127(723/724), 660-660.
Externí odkaz:
https://www.jstor.org/stable/26642331
Continuous-time semi-Markov finite state-space jump processes are considered, inspired by a duration-dependent life insurance model. New approximations using grid-conditional homogeneous Markov jump-processes are developed, based on a recent adaptati
Externí odkaz:
http://arxiv.org/abs/2312.06784
The Mean-Field approximation is a tractable approach for studying large population dynamics. However, its assumption on homogeneity and universal connections among all agents limits its applicability in many real-world scenarios. Multi-Population Mea
Externí odkaz:
http://arxiv.org/abs/2310.16326
Publikováno v:
Journal of Mind and Medical Sciences, Vol 11, Iss 2, Pp 521-535 (2024)
Constant exposure to the atmospheric air polluted with particulate matter is considered to have a negative influence on human health, even if it is found at values that may not exceed the maximum allowable concentration. Starting from the correlation
Externí odkaz:
https://doaj.org/article/17e5f7c6914846aa8c5a529c249e40e7
This paper presents a novel model for bivariate stochastic fluid processes that incorporate a ruin-dependent behavioral switch. Unlike typical models that assume a shared underlying process, our model allows each process to operate independently unti
Externí odkaz:
http://arxiv.org/abs/2307.16567
Autor:
Hansen, Jason
Publikováno v:
The Journal of Modern History, 2017 Dec 01. 89(4), 988-990.
Externí odkaz:
https://www.jstor.org/stable/26548319
We endow the classical stochastic fluid process with a duration-dependent Markovian arrival process (DMArP). We show that this provides a flexible model for the revenue of a solar energy generator. In particular, it allows for heavy-tailed interarriv
Externí odkaz:
http://arxiv.org/abs/2304.06185
We study multidimensional Cram\'er-Lundberg risk processes where agents, located on a large sparse network, receive losses form their neighbors. To reduce the dimensionality of the problem, we introduce classification of agents according to an arbitr
Externí odkaz:
http://arxiv.org/abs/2302.06668