Monthly Archives: April 2018

Least square fitting of vector-valued random variables

Let be joint random variables (typically not independent). This post describes which linear map relates these variables best in the sense that the expected square error is minimised. Related applications such as principle component analysis and auto encoding under random … Continue reading

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