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 ...
This is a preview. Log in through your library . Abstract Inference is considered for a location parameter given a random sample. Outliers are not explicitly modelled, but rejection of extreme ...
The parametric bootstrap can be used for the efficient computation of Bayes posterior distributions. Importance sampling formulas take on an easy form relating to the deviance in exponential families ...
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 ...
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