6 citations · 18 across the 4 of their papers we have counts for
6 papers
Exact Limits of Inference in Coalescent Models
James E. Johndrow, Julia A. Palacios
Recovery of population size history from molecular sequence data is an important problem in population genetics. Inference commonly relies on a coalescent model linking the populat…
A Decision Theoretic Approach to A/B Testing
David Goldberg, James E. Johndrow
A/B testing is ubiquitous within the machine learning and data science operations of internet companies. Generically, the idea is to perform a statistical test of the hypothesis th…
Coupling and Decoupling to bound an approximating Markov Chain
James E. Johndrow, Jonathan C. Mattingly
This simple note lays out a few observations which are well known in many ways but may not have been said in quite this way before. The basic idea is that when comparing two differ…
An algorithm for removing sensitive information: application to race-independent recidivism prediction
James E. Johndrow, Kristian Lum
Predictive modeling is increasingly being employed to assist human decision-makers. One purported advantage of replacing or augmenting human judgment with computer models in high s…
Theoretical Limits of Record Linkage and Microclustering
James E. Johndrow, Kristian Lum, David B. Dunson
There has been substantial recent interest in record linkage, attempting to group the records pertaining to the same entities from a large database lacking unique identifiers. This…
Estimating the observable population size from biased samples: a new approach to population estimation with capture heterogeneity
James E. Johndrow, Kristian Lum, Daniel Manrique-Vallier
Capture-recapture methods aim to estimate the size of a closed population on the basis of multiple incomplete enumerations of individuals. In many applications, the individual prob…