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Calibrating Stochastic Models with Bayesian Inference

There are two different schools of thought on the concept of statistics and probability. Read about how the Bayesian approach that is widely used in machine learning applications can also be easily applied to calibrate other stochastic models such as a geometric Brownian motion. Access the document below.

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