Filipe Abdalla Minicourse on Data Analysis in Cosmology

Lecturer: Filipe Abdalla (Univ. College, London)

Title: Bayesian Statistics and Data Analysis in Cosmology

Dates: January 27-31, 2014

Venue: IFT-UNESP, São Paulo.

Description:
This course will explore the use of bayesian statistics in cosmology. Particular emphasis will be placed on parameter estimation from data. Methods such as maximum likelihood, least-squares, maximum entropy and Markov Chain Monte Carlo (MCMC) will be used to find best estimates and confidence intervals. Multivariate analysis, the role of correlations, the distribution of priors, examples of different probability distribution functions, model selection, model calibration and non-parametric methods are some of the topics to be studied.

There is no need to apply for this activity.

Programme:  January 27 – 31

Files:

• FitALineExample.tar.gz
• StatisticNotes.zip

Bibliography:

• Data Analysis – a Bayesian Tutorial – D. S. Sivia
• Statistical Data Analysis – G. Cowan