https://github.com/mauricelanghinrichs/statsinferencetutorial
Tutorial for Statistical Inference with Julia.
https://github.com/mauricelanghinrichs/statsinferencetutorial
bayesian-inference differential-equations julia performance probabilistic-programming statistical-inference stochastic-simulations
Last synced: about 1 year ago
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Tutorial for Statistical Inference with Julia.
- Host: GitHub
- URL: https://github.com/mauricelanghinrichs/statsinferencetutorial
- Owner: mauricelanghinrichs
- License: mit
- Created: 2020-09-14T08:18:10.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-09-24T17:37:18.000Z (over 5 years ago)
- Last Synced: 2025-01-21T14:37:55.060Z (over 1 year ago)
- Topics: bayesian-inference, differential-equations, julia, performance, probabilistic-programming, statistical-inference, stochastic-simulations
- Language: HTML
- Homepage:
- Size: 5.87 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# StatsInferenceTutorial
A Tutorial for Statistical Inference with Julia
### Interactive mode
To open this tutorial in Julia:
- Start Julia
- Import Pluto by "using Pluto"
- Start a Pluto session by "Pluto.run()"
- In Pluto, open from file: "tutorial.jl"
(Note: give the notebook ~3 min. to initialise at the start, afterwards you are ready to go!)
### Static view of the notebook
To open this tutorial as html:
- Open "tutorial.jl.html" with a browser
### References
- Documentation and examples from Julia language and packages, in particular [DifferentialEquations.jl](https://github.com/SciML) and [Turing.jl](https://github.com/TuringLang) (see tutorial for more links)
- Pac-man image adapted from [pngwave](https://www.pngwave.com/png-clip-art-oiihu) (free for non-commercial use)