In this lecture I talk about Bayesian inference for time series models. I use an AR(1) example, and show how to infer its parameters and predict the future (in this case, the future value of the New Zealand dollar against the US dollar).
This lecture is not financial advice.
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https://www.youtube.com/watch?v=b15mp2lEIaE
We spotted this flat dead lizard being carried by a solitary ant along the road at Siding Spring Observatory. It was a bit dark so the ant is hard to see but the ant was about 1cm long and the lizard was about 10cm long.
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https://www.youtube.com/watch?v=ZIz-B5ds8sU
Posterior samples of lens models for the 'jackpot' Einstein ring. There is a high probability for a substructure being located within in the circle drawn on the top right panel. Substructures are denoted using 'stars' and the main power-law lens is centered at the circle.
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https://www.youtube.com/watch?v=DTPexcIX6oo
I interview historian Keagan Brewer. We discuss emotions in the middle ages, science and the humanities, and education. Apologies for not saying his name during the introduction! I am new to this.
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https://www.youtube.com/watch?v=bujP-Rdat0Y
I use Bayesian inference and JAGS to predict the result of the 2017 NRL (National Rugby League) grand final.
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https://www.youtube.com/watch?v=sqjIHkoxEk4
Our Min Pin (cross Toy Fox Terrier) Cali was amusing herself in the backyard with a leaf from a banana tree.
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https://www.youtube.com/watch?v=_-Amspe_EPg