Results 11 to 20 of about 20,470,336 (306)
Stochastic processes in gravitropism [PDF]
Frontiers in Plant Science, 2014 In this short review we focus on the role of noise in gravitropism of plants - the reorientation of plants according to the direction of gravity. We briefly introduce the conventional picture of static gravisensing in cells specialized in sensing.
Meroz, Yasmine, Bastien, Renaud
openaire +5 more sources
Design Wave Height Parameter Estimation Model Reflecting the Influence of Typhoon Time and Space
Journal of Marine Science and Engineering, 2021 Typhoon storm surge disasters are one of the main restrictive factors of sustainable development in coastal areas. They are one of several important tasks in disaster prevention and reduction in coastal areas and require reasonable and accurate ...
Guilin Liu +6 more
doaj +1 more source
RobustGaSP: Robust Gaussian Stochastic Process Emulation in R [PDF]
The R Journal, 2018 Gaussian stochastic process (GaSP) emulation is a powerful tool for approximating computationally intensive computer models. However, estimation of parameters in the GaSP emulator is a challenging task.
Mengyang Gu, J. Palomo, J. Berger
semanticscholar +1 more source
Robust Gaussian stochastic process emulation [PDF]
Annals of Statistics, 2017 We consider estimation of the parameters of a Gaussian Stochastic Process (GaSP), in the context of emulation (approximation) of computer models for which the outcomes are real-valued scalars.
Mengyang Gu, Xiaojing Wang, J. Berger
semanticscholar +1 more source
Frontiers in Computational Neuroscience, 2023 The self-organization of the brain matrix of serotonergic axons (fibers) remains an unsolved problem in neuroscience. The regional densities of this matrix have major implications for neuroplasticity, tissue regeneration, and the understanding of mental ...
Skirmantas Janušonis +4 more
doaj +1 more source
A new view of axon growth and guidance grounded in the stochastic dynamics of actin networks
Open Biology, 2023 The mechanism of axon growth and guidance is a core, unsolved problem in neuroscience and cell biology. For nearly three decades, our view of this process has largely been based on deterministic models of motility derived from studies of neurons cultured
Rameen Forghani +3 more
doaj +1 more source
Modeling Long-Range Dynamic Correlations of Words in Written Texts with Hawkes Processes
Entropy, 2022 It has been clarified that words in written texts are classified into two groups called Type-I and Type-II words. The Type-I words are words that exhibit long-range dynamic correlations in written texts while the Type-II words do not show any type of ...
Hiroshi Ogura +3 more
doaj +1 more source
Layout graph model for semantic façade reconstruction using laser point clouds
Geo-spatial Information Science, 2021 Building façades can feature different patterns depending on the architectural style, functionality, and size of the buildings; therefore, reconstructing these façades can be complicated.
Hongchao Fan, Yuefeng Wang, Jianya Gong
doaj +1 more source
The Spacey Random Walk: A Stochastic Process for Higher-Order Data [PDF]
SIAM Review, 2016 Random walks are a fundamental model in applied mathematics and are a common example of a Markov chain. The limiting stationary distribution of the Markov chain represents the fraction of the time spent in each state during the stochastic process.
Austin R. Benson +2 more
semanticscholar +1 more source
Frontiers in Applied Mathematics and Statistics, 2020 It is well-known that additive noise affects the stability of non-linear systems. Using a network composed of two interacting populations, detailed stochastic and non-linear analysis demonstrates that increasing the intensity of iid additive noise ...
Axel Hutt +3 more
doaj +1 more source