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Etymologie

Was (wer) ist stochastic approximation technique - definition

PROBABILITY MODELLING TOOL

Stochastic modeling; Stochastic modelling

Simultaneous perturbation stochastic approximation

OPTIMIZATION ALGORITHM

Finite Differences Stochastic Approximation

Simultaneous perturbation stochastic approximation (SPSA) is an algorithmic method for optimizing systems with multiple unknown parameters. It is a type of stochastic approximation algorithm.

https://en.wikipedia.org/wiki/Simultaneous_perturbation_stochastic_approximation

Stochastic optimization

Stochastic search; Stochastic optimisation

Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involves random objective functions or random constraints.

https://en.wikipedia.org/wiki/Stochastic_optimization

Stochastic modelling (insurance)

"Stochastic" means being or having a random variable. A stochastic model is a tool for estimating probability distributions of potential outcomes by allowing for random variation in one or more inputs over time.

https://en.wikipedia.org/wiki/Stochastic_modelling_(insurance)

Wikipedia

Stochastic modelling (insurance)

This page is concerned with the stochastic modelling as applied to the insurance industry. For other stochastic modelling applications, please see Monte Carlo method and Stochastic asset models. For mathematical definition, please see Stochastic process.

"Stochastic" means being or having a random variable. A stochastic model is a tool for estimating probability distributions of potential outcomes by allowing for random variation in one or more inputs over time. The random variation is usually based on fluctuations observed in historical data for a selected period using standard time-series techniques. Distributions of potential outcomes are derived from a large number of simulations (stochastic projections) which reflect the random variation in the input(s).

Its application initially started in physics. It is now being applied in engineering, life sciences, social sciences, and finance. See also Economic capital.

https://en.wikipedia.org/wiki/Stochastic modelling (insurance)