https://github.com/pmocz/nestedsampling-python
Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the model parameters
https://github.com/pmocz/nestedsampling-python
astrophysics machine-learning nested-sampling radial-velocities scientific-computing tutorial
Last synced: 9 months ago
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Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the model parameters
- Host: GitHub
- URL: https://github.com/pmocz/nestedsampling-python
- Owner: pmocz
- License: gpl-3.0
- Created: 2023-06-07T04:54:14.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-21T07:03:09.000Z (over 2 years ago)
- Last Synced: 2025-04-12T06:42:45.420Z (9 months ago)
- Topics: astrophysics, machine-learning, nested-sampling, radial-velocities, scientific-computing, tutorial
- Language: Python
- Homepage: https://levelup.gitconnected.com/create-your-own-nested-sampling-algorithm-for-bayesian-parameter-fitting-and-model-selection-with-3cfdeae4afd
- Size: 441 KB
- Stars: 10
- Watchers: 2
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# nestedsampling-python
Nested Sampling Parameter Fitting and Model Selection
## Create Your Own Nested Sampling Algorithm for Bayesian Parameter Fitting and Model Selection (With Python)
### Philip Mocz (2023) [@PMocz](https://twitter.com/PMocz)
### [📝 Read the Algorithm Write-up on Medium](https://levelup.gitconnected.com/create-your-own-nested-sampling-algorithm-for-bayesian-parameter-fitting-and-model-selection-with-3cfdeae4afd)
Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial
velocity data and estimate the posterior distribution of the model
parameters. This technique is more advanced and robust than simple
Metropolis-Hastings [MCMC sampling](https://github.com/pmocz/mcmc-python)
```
python nestedsampling.py
```
