stat_rethinking_2020
Statistical Rethinking Course Winter 2020/2021 (by rmcelreath)
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;) (by CamDavidsonPilon)
| stat_rethinking_2020 | Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | |
|---|---|---|
| 8 | 30 | |
| 651 | 27,522 | |
| 0.0% | 0.3% | |
| 2.6 | 0.0 | |
| over 4 years ago | about 1 year ago | |
| R | Jupyter Notebook | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stat_rethinking_2020
Posts with mentions or reviews of stat_rethinking_2020.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-07.
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[Q] Book on Bayesian statistics?
Bayesian rethinking is quite a good book and has been translated to Python.
- [E] Statistical Rethinking 2022 by Richard McElreath
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I have a small sample size time series with potentially lagged predictor values which are also time series. What could be potential methods to analyse these data?
If you want a full course on Bayesian Multilevel models, there's the excellent "statistical rethinking": lectures/content here and code here
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How to incorporate Bayes Inference into inplay betting model using R?
If you're unfamiliar with Bayesian analysis, I recommend reading Richard McElreath's Statistical Rethinking. It has associated R exercises and a lectures (found here)
- Any good video series for learning Bayesian stats?
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Quantitative Methods Course
A wonderful introductory course from a Bayesian point of view: https://github.com/rmcelreath/stat_rethinking_2020
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Any resource suggestion for 6420 Bayesian Statistics?
https://github.com/rmcelreath/stat_rethinking_2020 includes slides and videos.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Posts with mentions or reviews of Probabilistic-Programming-and-Bayesian-Methods-for-Hackers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-02.
- Probabilistic Programming and Bayesian Methods for Hackers (2013)
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[Q] Bayesian statistics!
Also this is quite nice practical introduction which might help with finding answers to your questions: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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How many of you have used algebra, calculus, geometry, etc in your business careers/the real world?
This is a good intro to probabilistic programming.
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Suggestions for some best books on computer vision
Probabilistic programming is a nice technique to have up your sleeve.
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Bayes examples and study help
+1 for Statistical Rethinking. I’m also partial to Bayesian Methods for Hackers.
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✨ 10 Free Books for Machine Learning & Data Science 📚
🔗 https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
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Predicting the distribution of a variable rather than a point estimate
You’re welcome! I would recommend Bayesian Methods for Hackers
- Bayesian Methods for Hackers
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A collaborative book on DeFi
All content is open-source: everyone is free to read, but also to contribute to the book using github. I know of one other book that followed this open-source 'publishing' model and became quite successful eventually through community efforts. I contemplated for a bit to create a book DAO but I think it's going to be overkill :).
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[R] Analysis of Russian vaccine trial outcomes suggests they are lazily faked. Distribution of efficacies across age groups is quite improbable
Jake Vanderplas's Statistics for Hackers presentation is a perfect place to start. Bayesian Methods for Hackers is also very good.
What are some alternatives?
When comparing stat_rethinking_2020 and Probabilistic-Programming-and-Bayesian-Methods-for-Hackers you can also consider the following projects:
stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
skbel - SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.