This article was written by Blaine Bateman In this post, I will demonstrate the use of nonlinear models for time series analysis, and contrast to linear models. I will use a (simulated) noisy and nonlinear time series of sales data, use multiple linear regression and a small neural network to fit training data, then predict 90 days forward. I implemented all of this in R, although it could be do…
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