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Intro to gaussian processes in Stan: Finding exoplanets

Автор: Stan

Загружено: 2020-09-11

Просмотров: 8280

Описание:

Welcome to the official Stan youtube channel! Stan is a state-of-the-art probabilistic programming language. Here we will be releasing new videos regularly covering everything from how to use Stan to bayesian statistics.

In this video, you will learning about gaussian processes - what they are and how to implement them in Stan. As an example we will be taking time series data from NASA's Kepler telescope to see if our GP fit can reveal the presence of an exoplanet.

To make sure that you don't miss out on our content, make sure you hit the subscribe button and click the bell.

Extra reading:
https://betanalpha.github.io/assets/c...
https://distill.pub/2019/visual-explo...
Kernel choices: https://www.cs.toronto.edu/~duvenaud/...

We are also on twitter
@mcmc_stan

Links:
Stan website: https://mc-stan.org
Stan community: https://discourse.mc-stan.org
Support Stan: https://mc-stan.org/support/
Github link to code & model: https://github.com/MaggieLieu/STAN_tu...

Rstan installation:
   • Getting started with Stan in R  

Pystan installation:
   • Getting started with Stan in Python  

Media credits:

Acknowledgements:
Thanks to Michael Betancourt for careful reading of the script

Intro to gaussian processes in Stan: Finding exoplanets

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