1 citations · 2 across the 5 of their papers we have counts for
5 papers
Conflict Forecasting via Conformal Prediction for Markov Processes
Aditya Basarkar, Emmett B. Kendall, David Randahl +2
Whether or not a country is at war, or experiencing escalating or deescalating levels of conflict, has massive ramifications on a country's national and foreign policy. Given a cou…
Identification of physiological shock in intensive care units via Bayesian regime switching models
Emmett B. Kendall, Jonathan P. Williams, Curtis B. Storlie +3
Detection of occult hemorrhage (i.e., internal bleeding) in patients in intensive care units (ICUs) can pose significant challenges for critical care workers. Because blood loss ma…
Beyond time-homogeneity for continuous-time multistate Markov models
Emmett B. Kendall, Jonathan P. Williams, Gudmund H. Hermansen +2
Multistate Markov models are a canonical parametric approach for data modeling of observed or latent stochastic processes supported on a finite state space. Continuous-time Markov…
Robust Coordinate Ascent Variational Inference with Markov chain Monte Carlo simulations
Neil Dey, Emmett B. Kendall
Variational Inference (VI) is a method that approximates a difficult-to-compute posterior density using better behaved distributional families. VI is an alternative to the already…
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
Emmett B. Kendall, Brenden Beck, Joseph Antonelli
We study variation in policing outcomes attributable to differential policing practices in New York City (NYC) using geographic regression discontinuity designs (GeoRDDs). By focus…