Frequentist or Bayesian estimator for Model Fitting?

[b-remy]

Hi, during Monday 7th's session, we struggled to understand the authors comparison of Frequentist versus Bayesian estimators for their model fitting algorithm (Bayesian Galaxy Shape Measurement for Weak Lensing Surveys -I., Miller et al). So I reproduced and tried to explain their experiment in a notebook, hopping to make it clearer :)

Maybe this could be a Model Fitting's subsection even though I'm not sure it fits the book format. I am ready to make any necessary changes.

[sfarrens]

Thanks @b-remy, this notebook is very cool. I think with a bit of work this could easily be the start of the model fitting section of the book. We can discuss the details at the next shear book session.

[sfarrens]

@b-remy Following today's discussion I recommend that you do the following:

1. Create a new directory in shearbook called appendix.
2. Put your notebook in that directory.
3. Choose an appropriate name for the notebook. I don't have any good ideas yet, but I am sure we can come up with something.
4. In _toc.yml add a new chapter (i.e. part) after Bias and Calibration called Appendix and add the name of your notebook.

- part: Appendix
  chapters:
    - file: appendix/your-notebook

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB