I lately wrote the following wordy text about non-linear time series analysis (as part of my university course). I'm new to this field and with this text I was trying to get an overall overview about the subject. The text has almost no mathematics but just quick descriptions of the most interesting non-linear models for time-series.
URL/DOI Link: Non-Linear Time Series Prediction: A Survey
Tuesday 4 February 2020
The following is an explanation of some of the math in the paper "Variational auto-encoders with Student’s t-prior" by Najmeh Abiri1 and Mattias Ohlsson. In particular, I focused on their use of the reparametrization trick in order to train a VA with Student-t distribution instead of a Gaussian distribution.
URL/DOI link: VARIATIONAL AUTO-ENCODERS WITH STUDENT‘S T PRIOR EXCERPT