Description
The file Cepheids_DATA_errMVerrP.csv contains the data we have used in class for a sample of Cepheids variable stars. Specifically, the columns in
the files are:
MV: absolute magnitude in the V band
MV_err: error on the absolute magnitude
LogP: logarithm of the pulsations period
LogP_err: error on the logarithm of the period
Using the software of your choice, visualize the data. Write a Bayesian linear regression model that neglects observational errors, and implement it in
PyMC3. Analyze the results, and summarize your model with your best estimate for the parameters and their uncertainty.
Overplot your best-fit line with the 95% credibility region on the data.
You realize, by looking at the data, that your slope may be affected by the presence of a couple of outliers. Write a Bayesian Mixture model that account for
the possibility that some of the observations are not generated by the same generative process.
