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We have issues for using Mallow's or Schweppe's weights but I don't see any functional form for it.
We need references and functions for those.
Then we could use var and freq weights in GLM, based…
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# Title
Introduction to Simulation Based Inference: enhancing synthetic models with Artificial Intelligence
# Responsible person(s)
Alina Bazarova, Stefan Kesselheim, Forschungszentrum Jülich, …
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It would be useful to enable users to validate their model using the global Markov property. I see two steps to this approach
1. Enumerating d-separations and then running corresponding statistica…
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### Project to be claimed
`ppi`: https://pypi.org/project/ppi
### Your PyPI username
`aangelopoulos`: https://pypi.org/user/aangelopoulos
### Reasons for the request
Project name
ppi: https://…
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First just want to say it is an excellent book and a great resource for students in the Statistical Inference course.
Text says "n choose 1" equals 1 but isn't it equal to n?
Same for "n choose n-1."…
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Hello, I downloaded Statistical Inference as a course to start, how can I go back? And star with the course basic programing Thanks!
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## Related Reference
- Goodfellow I, Bengio Y, Courville A. [Deep learning]().
- Bishop C M, Nasrabadi N M. [Pattern recognition and machine learning]().
- Murphy K P. [Machine learning: a proba…
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Link: [Arxiv](https://arxiv.org/pdf/1805.00909.pdf)
This is one of the important paper that link MBRL with Variational Inference, published in 2018/05
Problem:
> the connection between reinfo…
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Firstly, thanks for a great book! It gives every intuitive way to understand the Causal Inference topic!
It would be very useful to provide information on how to calculate statistical significance …
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1. intro: what is the aim of the book
- Why do social science practitioners need programming and statistical skills
- etc
2. introduction to R: beginning steps
- begin with case st…