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Monte Carlo Simulation — a practical guide
Jan. 31, 2022, 9:27 p.m. | Robert Kwiatkowski
Towards Data Science - Medium towardsdatascience.com
Monte Carlo Simulation — a practical guide
A versatile method for parameters estimation. Exemplary implementation in Python programming language.
Image by 15299 from Pixabay modified by authorMonte Carlo Simulation (or Method) is a probabilistic numerical technique used to estimate the outcome of a given, uncertain (stochastic) process. This means it’s a method for simulating events that cannot be modelled implicitly. This is usually a case when we have a random variables in our processes.
In this article, I give …
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