The UvA Simulation-based Science community organises monthly thematic meetings to facilitate networking and knowledge exchange among UvA researchers working on various modelling and simulation methods. This edition is on: Stochastic modelling.
|Date||1 March 2019|
|Time||14:30 - 18:00|
A stochastic model captures random variations that may exist in parts of a system under study, or in one or more of the inputs. These random variations are usually based on fluctuations observed in data, which typically are a sign of more detailed (microscopic) processes occurring on smaller scales. In a stochastic simulation of such system the outputs are estimates of probability distributions, e.g. a mean and standard deviation, of potential outcomes by allowing variation in the model. Usually this is realized using Monte Carlo techniques. Distributions of potential outcomes are derived from a large number of simulations (stochastic projections) which reflect the random variation of the model. Its application initially started in physics. It is now broadly being applied in Simulation based Science.
Besides the plenary presentations and discussion, there will be much time to exchange knowlegde and ideas with your colleagues.