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Yesterday I wrote about how to interpolate a Brownian path. If you’ve created a discrete Brownian path with a certain step size, you can go back and fill in at smaller steps as if you’d generated the values from the beginning. This means that instead of generating samples in order as a random walk, you […] The post The fractal nature of Brownian motion first appeared on John D. Cook....