58 citations · 198 across the 19 of their papers we have counts for
24 papers
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…
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…
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…
Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors
Niloy Biswas, Anirban Bhattacharya, Pierre E. Jacob +1
We consider Markov chain Monte Carlo (MCMC) algorithms for Bayesian high-dimensional regression with continuous shrinkage priors. A common challenge with these algorithms is the ch…
No Free Lunch for Approximate MCMC
James E. Johndrow, Natesh S. Pillai, Aaron Smith
It is widely known that the performance of Markov chain Monte Carlo (MCMC) can degrade quickly when targeting computationally expensive posterior distributions, such as when the sa…
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…