Jordan Bryan

Implementing minimum-Wasserstein deconvolution

Recently, Rigollet and Weed (2019)1 introduced a consistent estimator for the problem of uncoupled isotonic regression. The authors also proposed a computationally efficient procedure for computing a relaxed version of the estimator, which achieves the same minimax rate. Rigollet and Weed’s estimator relaxed estimator minimizes the Wasserstein-... Read more

Simon Newcomb and the Legacy of Meta Analysis in Determining Fundamental Constants

The diversity in the adopted values of the elements and constants of astronomy is productive of inconvenience to all who are engaged in investigations based upon these quantities, and injurious to the precision and symmetry of much of our astronomical work 1 Few works have survived the scrutiny of decades of scientific progress as well as S... Read more

AI for art

By definition, music is confined to travel through the audio domain. Once it reaches an observer, though, it is free to speak through other sensory channels. Music evokes imagery: colors, shapes and motion. For some people, this imagery is incredibly vivid and fantastical. For most people – myself included – the imagery is more pedestrian. For ... Read more

Power and the moving block bootstrap

Suppose that, following the design of the previous well contamination study, a new group of researchers wants to conduct a survey to characterize the effect that distance to the nearest safe drinking water source has on well switching behavior. For the next study, we would like to estimate the number of residents that need to be polled in order ... Read more

Structural dependence in binary regression

Drinking water contamination affects many communities in the developing world. When safe water sources become available to these communities, various factors may determine whether residents modify their drinking habits. We analyze data gathered from \(3020\) residents in a developing country with Frequentist and Bayesian methods in order to unde... Read more