Density

Cracking the Density Code: Why MAF Flows Where KDE Stalls

Certainly one of the essential problems that arises in high-dimensional density estimation is that as our dimension increases, our data becomes more sparse. Due to this fact, for models that depend on local neighborhood...

The Math Behind Kernel Density Estimation

The next derivation takes inspiration from Bruce E. Hansen’s “Lecture Notes on Nonparametric” (2009). Should you are curious about learning more you possibly can confer with his original lecture notes here.Suppose we desired to...

Understanding Histograms and Kernel Density Estimation

An in-depth exploration of histograms and KDEA histogram is a graph that visualizes the frequency of numerical data. It is usually utilized in data science and statistics to have a raw estimate of the...

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