We propose a new data-augmentation strategy for fully Bayesian inference in models with binomial likelihoods. The approach appeals to a new class of Pólya–Gamma distributions, which are constructed in ...

Statistical inference with complex survey data is challenging because the sampling design can be informative, and ignoring it can produce misleading results. Current methods of Bayesian inference ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

This course is available on the MSc in Comparative Politics, MSc in Development Management, MSc in Development Studies, MSc in Global Politics, MSc in Health and International Development, MSc in ...