Statistical Inference

tl;dr: The process of inferring the properties of a probability distribution from sampled data. This note contains an overview of different methods.

I am currently writing notes on different dimensionality reduction techniques. Here are the most common inference methods I have encountered so far:

Notes mentioning this note

Probabilistic PCA
tl;dr: probabilistic extension of principal component analysis. Advantageous for handling missing data and extending PCA to a Bayesian framework.

Here are all the notes in this garden, along with their links, visualized as a graph.