Statistical Analysis in Cosmology: Goodness-of-Fit and Model Selection - Part 2

Delve into the second part of a lecture series on statistical analysis in cosmology, presented by Dr Marika Asgari from the University of Hull. Explore the crucial process of confronting theoretical models with observational data in cosmological research. Learn about key concepts such as goodness-of-fit and model selection techniques. Gain insights into powerful statistical tools including Markov Chain Monte Carlo (MCMC) methods, chi-square tests, and p-value interpretations. Enhance your understanding of how these statistical approaches are applied to evaluate and refine cosmological models based on empirical evidence.

Statistical Analysis in Cosmology: Part 2, by Dr Marika Asgari (University of Hull)