A Bayesian methodology for estimating the size of a closed population from multiple incomplete administrative lists is proposed. The approach allows for a variety of dependence structures between the ...

We propose three Bayesian methods for PS variable selection and model averaging that (a) select relevant variables from a set of candidate variables to include in the PS model and (b) estimate causal ...

Specialization: Bayesian Statistics for Data Science Instructor: Brian Zaharatos Prior knowledge needed: Statistics View on Coursera Learning Outcomes Articulate the primary interpretations of ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The paper constructs a new output gap measure for Vietnam by applying Bayesian methods to a two-equation AS-AD model, while ...

Bayesian information borrowing is an indispensable part of these designs, which shows great advantages in improving the efficiency of clinical trials. Bayesian methods provide an effective framework ...