11 citations · 20 across the 2 of their papers we have counts for
3 papers
stat.ML2018
Neural Granger Causality
Alex Tank, Ian Covert, Nicholas Foti +2
While most classical approaches to Granger causality detection assume linear dynamics, many interactions in real-world applications, like neuroscience and genomics, are inherently…
stat.ME2017★ 11 cited
Granger Causality Networks for Categorical Time Series
Alex Tank, Emily B. Fox, Ali Shojaie
We present a new framework for learning Granger causality networks for multivariate categorical time series, based on the mixture transition distribution (MTD) model. Traditionally…
stat.ME2015★ 9 cited
Bayesian Structure Learning for Stationary Time Series
Alex Tank, Nicholas Foti, Emily Fox
While much work has explored probabilistic graphical models for independent data, less attention has been paid to time series. The goal in this setting is to determine conditional…