Good intro to the idea of Bayesian computation and modeling, But ultimately does include math. We successfully used the method for simulating relatively complex process. Or 'computing' probabilistically the real world based on available data. This is an intro, and you are best advised to not implement it directly, but use a package as the basis for use. But it is also good to use Bayesian methods to think about your problem and map it out usefully ...
The ABCs of Approximate Bayesian Computation
An introduction into parameter inference using Approximate Bayesian Computational methods. By Tom Leyshon in TowardsdataScience
What is Bayesian statistics?
Bayesian statistics are methods that allow for the systematic updating of prior beliefs in the evidence of new data [1]. The fundamental theorem that these methods are built upon is known as Bayes’ theorem.... "
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