Results 241 to 250 of about 18,455,975 (322)

Dynamics of temporal influence in polarised networks. [PDF]

open access: yesPLoS One
Pena CB   +3 more
europepmc   +1 more source
Some of the next articles are maybe not open access.

Related searches:

Poisson Process

Stochastic Processes with R, 2022
O. Korosteleva
openaire   +2 more sources

Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems, 2021
In this article, a new iterative spiking adaptive dynamic programming (SADP) method based on the Poisson process is developed to solve optimal impulsive control problems. For a fixed time interval, combining the Poisson process and the maximum likelihood
Qinglai Wei, Liyuan Han, Tielin Zhang
semanticscholar   +1 more source

The Poisson Process, Compound Poisson Process, and Poisson Random Field

2021
Poisson processes broadly refer to stochastic processes that are the result of counting occurrences of some random phenomena (points) in time or space such that occurrences of points in disjoint regions are statistically independent, and counts of two or more occurrences in an infinitesimally small region are negligible.
Rabi Bhattacharya, Edward C. Waymire
openaire   +1 more source

Paretian Poisson Processes

Journal of Statistical Physics, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eliazar, Iddo, Klafter, Joseph
openaire   +2 more sources

Home - About - Disclaimer - Privacy