1.2k citations · 5k across the 152 of their papers we have counts for
9 papers · 1 filter
Matching Bounds: How Choice of Matching Algorithm Impacts Treatment Effects Estimates and What to Do about It
Marco Morucci, Cynthia Rudin
Many major works in social science employ matching to make causal conclusions, but different matches on the same data may produce different treatment effect estimates, even when th…
The age of secrecy and unfairness in recidivism prediction
Cynthia Rudin, Caroline Wang, Beau Coker
In our current society, secret algorithms make important decisions about individuals. There has been substantial discussion about whether these algorithms are unfair to groups of i…
The latent state hazard model, with application to wind turbine reliability
Ramin Moghaddass, Cynthia Rudin
We present a new model for reliability analysis that is able to distinguish the latent internal vulnerability state of the equipment from the vulnerability caused by temporary exte…
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
Benjamin Letham, Cynthia Rudin, Tyler H. McCormick +1
We aim to produce predictive models that are not only accurate, but are also interpretable to human experts. Our models are decision lists, which consist of a series of if...then..…
Prediction uncertainty and optimal experimental design for learning dynamical systems
Benjamin Letham, Portia A. Letham, Cynthia Rudin +1
Dynamical systems are frequently used to model biological systems. When these models are fit to data it is necessary to ascertain the uncertainty in the model fit. Here we present…
Reactive point processes: A new approach to predicting power failures in underground electrical systems
Şeyda Ertekin, Cynthia Rudin, Tyler H. McCormick
Reactive point processes (RPPs) are a new statistical model designed for predicting discrete events in time based on past history. RPPs were developed to handle an important proble…