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Quasi-Stationary Distributions: General Results

2013
In this chapter, we introduce the main concepts in a general context of killed processes. Thus, in Sect. 2.2, we give the definition of quasi-stationary distributions (QSDs). In Theorem 2.2 of Sect. 2.3, we show that starting from a QSD the killing time is exponentially distributed, and in Theorem 2.6 of Sect. 2.4, we show that the killing time and the
Pierre Collet   +2 more
openaire   +1 more source

Stationary distributions of fading evolutions

Ukrainian Mathematical Journal, 2009
We study fading random walks on the line. We determine stationary distributions of the fading Markov evolution and investigate the special semi-Markov case where the sojourn times of the renewal process have Erlang distributions.
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Limit theorems for stationary distributions

Advances in Applied Probability, 1975
For everyN≧ 1, letbe a real-valued stationary process, and let. Suppose thatand var, where∊NandτNare positive null sequences. Limiting distributions ofasN→∞are obtained for the casesτN=∊NandτN=o(∊N). These results are established by an extension of a method due to Moran. The theory is illustrated by a variety of applications to genetic models.
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A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration

Renewable and Sustainable Energy Reviews, 2022
Abraham Alem Kebede, Joeri Van Mierlo
exaly  

Markov Chain and Stationary Distribution

2019
MC has been a valuable tool for analyzing the performance of complex stochastic systems since it was introduced by the Russian mathematician A. A. Markov (1856–1922) in the early 1900s. More and more system analyses have been carried out by using MC, including the analysis on CA and CF.
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Stationary distribution

2001
Saul I. Gass, Carl M. Harris
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Stationary Current Distributions

2012
Gerd Mrozynski, Matthias Stallein
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Redox flow batteries: Status and perspective towards sustainable stationary energy storage

Journal of Power Sources, 2021
Eduardo Sanchez-Diez   +2 more
exaly  

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