A collection of self-starters for nonlinear regression in R
Usually, the first step in every nonlinear regression analysis is to select the function that best describes the phenomenon under study. The next step is to fit this function to t...
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Usually, the first step in every nonlinear regression analysis is to select the function that best describes the phenomenon under study. The next step is to fit this function to t...
Backtesting is a dangerous sanctuary. In hindsight, every historical chart can be turned into a work of art using polynomial curve-fitting…Continue reading on Medium »
Using an iterative optimization framework to rethink regression models Continue reading: On the Expectation-Maximization (EM) algorithm and regression models
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