activity
20142021
most citedA statistical framework for fair predictive algorithms

58 citations · 198 across the 19 of their papers we have counts for

collaborators
Showing stat.APShow all

6 papers · 1 filter

stat.AP2021★ 1 cited

Efficiency of ETA Prediction

Chiwei Yan, James Johndrow, Dawn Woodard +1

Modern mobile applications such as navigation services and ride-sharing platforms rely heavily on geospatial technologies, most critically predictions of the time required for a ve…

stat.AP2021★ 37 cited

Limits of epidemic prediction using SIR models

Omar Melikechi, Alexander L. Young, Tao Tang +3

The Susceptible-Infectious-Recovered (SIR) equations and their extensions comprise a commonly utilized set of models for understanding and predicting the course of an epidemic. In…

stat.AP2021★ 1 cited

Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment

Kristian Lum, David B. Dunson, James Johndrow

Risk assessment instruments are used across the criminal justice system to estimate the probability of some future behavior given covariates. The estimated probabilities are then u…

stat.AP2020★ 7 cited

Estimating the number of SARS-CoV-2 infections and the impact of social distancing in the United States

James Johndrow, Kristian Lum, Maria Gargiulo +1

Understanding the number of individuals who have been infected with the novel coronavirus SARS-CoV-2, and the extent to which social distancing policies have been effective at limi…

stat.AP2018★ 13 cited

Removing the influence of a group variable in high-dimensional predictive modelling

Emanuele Aliverti, Kristian Lum, James E. Johndrow +1

In many application areas, predictive models are used to support or make important decisions. There is increasing awareness that these models may contain spurious or otherwise unde…

stat.AP2017★ 6 cited

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…