Tentative list of topics to be covered in the school
- Statistics in Astronomy
- Basic probability and probability distributions
- Statistical inference and maximum likelihood estimation (MLE)
- Forward and inverse modeling
- Bayesian Statistics and Advanced Methods
- Introduction to Bayesian statistics
- Markov Chain Monte Carlo (MCMC) and sampling methods
- Hierarchical Bayesian modeling
- Non-parametric methods
- Machine Learning and AI
- AI and Machine Learning applications in astronomy
- Gaussian processes
- Geometry and Topology of Random Fields
- Instrumentation and Data Analysis
- Basics of data analysis related to astronomical instrumentation
- Practical applications and hands-on tutorials
