Cours 'Large Surveys, Big Data, Generous Statistics'

- Develop an understanding of required statistics for astronomy doctoral students.
- Understanding the functioning of modern large astrophysical surveys.
- Dealing with the flood of data resulting from these large surveys.
- Introduce machine learning methods

- Statistics primer
- Bayesian and frequentist statistics, parameter estimation, confidence intervals
- Marginalisation and hypothesis comparison
- Forms of bias: Analysis bias, ‘look elsewhere', publication bias, blinding
- Large surveys: functioning, opportunities, responsibilities
- Big Data in astronomy and industry
- Managing the Big Data flow, processing and storage
- Machine learning methods

None

Capacity to collaborate within large surveys