5 papers
Bayesian Sample Size Determination: Sampling Distribution Estimation or Exploration?
Luke Hagar, Paul Gustafson
To design many Bayesian studies, the sample size is chosen to attain sufficient power to reject a null hypothesis or a desired probability that an interval estimate is sufficiently…
Estimating the Number of Opioid Overdoses in British Columbia Using Relational Evidence with Tree Structure
Mallory J Flynn, Paul Gustafson, Michael A. Irvine
In many fields, populations of interest are hidden from data for a variety of reasons, though their magnitude remains important in determining resource allocation and appropriate p…
AutoWMM and JAGStree -- R packages for Population Size Estimation on Relational Tree-Structured Data
Mallory J Flynn, Paul Gustafson
The weighted multiplier method (WMM) is an extension of the traditional method of back-calculation method to estimate the size of a target population, which synthesizes available e…
Leveraging Relational Evidence: Population Size Estimation on Tree-Structured Data with the Weighted Multiplier Method
Mallory J Flynn, Paul Gustafson
Populations of interest are often hidden from data for a variety of reasons, though their magnitude remains important in determining resource allocation and appropriate policy. One…
Issues of parameterization and computation for posterior inference in partially identified models
Seren Lee, Paul Gustafson
A partially identified model, where the parameters can not be uniquely identified, often arises during statistical analysis. While researchers frequently use Bayesian inference to…