Zobrazeno 1 - 10
of 9 723
pro vyhledávání: '"extreme value statistics"'
Arguably, the most fundamental problem in Network Science is finding structure within a complex network. One approach is to partition the nodes into communities that are more densely connected than one expects in a random network. "The" community str
Externí odkaz:
http://arxiv.org/abs/2411.00977
Autor:
Matsinos, Evangelos
This study provides a summary of the theory which enables the analysis of extreme values, i.e., of measurements acquired from the observation of extraordinary/rare physical phenomena. The formalism is developed in a transparent way, tailored to the a
Externí odkaz:
http://arxiv.org/abs/2407.00725
Publikováno v:
Chaos 34, 083144 (2024)
We study rare events in the extreme value statistics of stochastic symmetric jump processes with power tails in the distributions of the jumps, using the big-jump principle. The principle states that in the presence of stochastic processes with power
Externí odkaz:
http://arxiv.org/abs/2404.19406
Publikováno v:
A&A 689, A87 (2024)
Time-Delay Cosmography is a technique for measuring $H_0$ with strong gravitational lensing. It requires a correction for line of sight perturbations, and it is necessary to build tools to assess populations of these lines of sight efficiently. We ai
Externí odkaz:
http://arxiv.org/abs/2403.10666
Autor:
Tsuzuki, Satori
Nerve transmission delay is an important topic in neuroscience. Spike signals fired or received at the dendrites of a neuron travel from the axon to the presynaptic cell. The spike signal triggers a chemical reaction at the synapse, wherein a presyna
Externí odkaz:
http://arxiv.org/abs/2402.00484
Autor:
de Pirey, Thibaut Arnoulx
We present an exact solution for one-dimensional overdamped dynamics near a hard wall, allowing us to connect steady-state distributions under confinement with the extreme value statistics of unconfined stochastic processes. This mapping holds regard
Externí odkaz:
http://arxiv.org/abs/2402.05091
Recently, the number of non-standard percolation models has proliferated. In all these models, there exists a phase transition at which long range connectivity is established, if local connectedness increases through a threshold $p_c$. In ordinary (s
Externí odkaz:
http://arxiv.org/abs/2401.05234
Autor:
Elsom, Henry, Pawley, Matthew
We present the methods employed by team `Uniofbathtopia' as part of the Data Challenge organised for the 13th International Conference on Extreme Value Analysis (EVA2023), including our winning entry for the third sub-challenge. Our approaches unite
Externí odkaz:
http://arxiv.org/abs/2312.13725
Autor:
De Bruyne, Benjamin
This thesis is devoted to the study of extreme value statistics in stochastic processes and their applications. In the first part, we obtain exact analytical results on the extreme value statistics of both discrete-time and continuous-time random wal
Externí odkaz:
http://arxiv.org/abs/2310.14779
We investigate extreme value statistics (EVS) of general discrete time and continuous space symmetric jump processes. We first show that for unbounded jump processes, the semi-infinite propagator $G_0(x,n)$, defined as the probability for a particle
Externí odkaz:
http://arxiv.org/abs/2309.03301