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Stochastic Processes

Chapter
Publication Date:
2018
abstract:
Stochastic processes are the formal representation of real systems whose evolution in time or space can be assumed as random. This contribution summarizes the necessary mathematical background material on the topic, including terminology and notation. It also illustrates the Markov property (or "lack of memory") of stochastic processes and shows examples of the main Markov processes, that are particularly relevant in applications. Indications are also given on the techniques for the numerical investigation of such processes. Extensive references for both advanced theory and biological/biochemical applications are provided.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Brownian motion; Chemical master equation; Fokker-Planck equation; Markov chains; Poisson process; Stochastic simulation
List of contributors:
Carfora, MARIA FRANCESCA
Authors of the University:
CARFORA MARIA FRANCESCA
Handle:
https://iris.cnr.it/handle/20.500.14243/349001
Book title:
Reference Module in Life Sciences
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URL

https://www.sciencedirect.com/science/article/pii/B9780128096338203622
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