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- W3196628559 abstract "Most of the statistical methods presented in the previous chapters deal with inherently static data. With the exception of a few time-series examples, there is rarely a time component involved and typically observed random variables or vectors are assumed independent. We now move on to a different setting that involves a time component and/or dependent random variables. In general, such models are called “dynamic” as they describe changes over time or space. A consequence of dynamic behavior is dependence between random variables at different points in time or space." @default.
- W3196628559 created "2021-09-13" @default.
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- W3196628559 date "2021-01-01" @default.
- W3196628559 modified "2023-10-16" @default.
- W3196628559 title "Simulation of Dynamic Models" @default.
- W3196628559 doi "https://doi.org/10.1007/978-3-030-70901-3_10" @default.
- W3196628559 hasPublicationYear "2021" @default.
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