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 Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 23, No. 4 (Dec., 1995), pp. 399-410 (12 pages) This paper presents a new Laplacian approximation to the posterior density ...

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 ...

Nate Silver, baseball statistician turned political analyst, gained a lot of attention during the 2012 United States elections when he successfully predicted the outcome of the presidential vote in ...

Bayes' theorem, also called Bayes' rule or Bayesian theorem, is a mathematical formula used to determine the conditional probability of events. The theorem uses the power of statistics and probability ...