TY - CHAP
T1 - Stochastic Delay Differential Equations
AU - Rihan, Fathalla A.
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - Real biological systems are always exposed to influences that are not completely understood or not feasible to model explicitly, and therefore, there is an increasing need to extend the deterministic models to models that embrace more complex variations in the dynamics. A way of modeling these elements is by including stochastic influences or noise. A natural extension of a deterministic differential equations model is a system of stochastic differential equations (SDEs), where relevant parameters are modeled as suitable stochastic processes, or stochastic processes are added to the driving system equations.
AB - Real biological systems are always exposed to influences that are not completely understood or not feasible to model explicitly, and therefore, there is an increasing need to extend the deterministic models to models that embrace more complex variations in the dynamics. A way of modeling these elements is by including stochastic influences or noise. A natural extension of a deterministic differential equations model is a system of stochastic differential equations (SDEs), where relevant parameters are modeled as suitable stochastic processes, or stochastic processes are added to the driving system equations.
UR - http://www.scopus.com/inward/record.url?scp=85113750157&partnerID=8YFLogxK
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U2 - 10.1007/978-981-16-0626-7_7
DO - 10.1007/978-981-16-0626-7_7
M3 - Chapter
AN - SCOPUS:85113750157
T3 - Forum for Interdisciplinary Mathematics
SP - 123
EP - 141
BT - Forum for Interdisciplinary Mathematics
PB - Springer
ER -