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Intro to gaussian processes in Stan: Finding exoplanets

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.

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Extra reading:
https://betanalpha.github.io/assets/case_studies/gp_part1/part1.html
https://distill.pub/2019/visual-exploration-gaussian-processes/
Kernel choices: https://www.cs.toronto.edu/~duvenaud/cookbook/

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_tutorials/tree/master/Gaussian_processes_I

Rstan installation:
https://youtu.be/4t6niM6sksI

Pystan installation:
https://youtu.be/YtR18hdAWmU

Media credits:

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

Видео Intro to gaussian processes in Stan: Finding exoplanets канала Stan
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11 сентября 2020 г. 19:00:12
00:18:18
Яндекс.Метрика