Abstract: In this article, we focus on nonhomogeneous Markov processes (NHMPs), which are generalizations of the well-known homogeneous Markov processes (HMPs) and nonhomogeneous Poisson processes, ...
Abstract: The non-homogeneous Poisson process provides a generalised framework for the modelling of random point data by allowing the intensity of point generation to vary across its domain of ...
It is easy to call this package from Python. See this tutorial for a quick guide on how to do this. Transfer entropy (TE) is a measure of information flow between time series. It can be used to infer ...
Young, Empowered and Strong: A Web-Based Education and Supportive Care Intervention for Young Women With Breast Cancer Across the Care Continuum To overcome these challenges, we have developed a ...
We have detected an event of pore pressure change (hereafter, we refer it to “pore pressure event”) from borehole stations in real time in March 2020, owing to the network developed by connecting ...
Laboratory for Computational Molecular Design, Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland Laboratory for Computational ...
Some previous studies have shown that chaotic dynamics in the balanced state, i.e., one with balanced excitatory and inhibitory inputs into cortical neurons, is the underlying mechanism for the ...
The solution of the Poisson equation is a crucial step in electronic structure calculations, yielding the electrostatic potential—a key component of the quantum mechanical Hamiltonian. In recent ...
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