statistics
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The Box-Cox Transformation
The Box-Cox transformation is a family of power transform functions that are used to stabilize variance and make a dataset look more like a normal distribution. Lots of useful tools require normal-like data in order to be effective, so by using the Box-Cox transformation on your wonky-looking dataset you can then utilize some of these tools. Here’s the…
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MLE, MAP, and Naive Bayes
Suppose we are given a dataset of outcomes from some distribution parameterized by . How do we estimate ? For example, given a bent coin and a series of heads and tails outcomes from that coin, how can we estimate the probability of the coin landing heads?
Nick Ryan 