Emily Beth Fox
Stanford University
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Granger Causality: A Review and Recent Advances
Journal paperPreprint
Annual Review of Statistics and its Application, Volume 9
Publication year: 2022
The Convex Mixture Distribution: Granger Causality for Categorical Time Series
Journal paper
SIAM Journal on Mathematics of Data Science, Volume 3, Issue 1, Pages 83-112
Publication year: 2021
Neural Granger Causality for Nonlinear Time Series
Journal paperPreprint
To appear in IEEE Transaction on Pattern Analysis and Machine Intelligence
Publication year: 2021
It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Journal paper
Journal of Machine Learning Research, Volume 22, Issue 164, Pages 1-20
Publication year: 2021
Breiman's two cultures: You don't have to choose sides
Stochastic Gradient MCMC for State Space Models
Journal paper
SIAM Journal on Mathematics of Data Science, Volume 1, Issue 3, Pages 555-587
Publication year: 2019
Statistical Model-based Approaches for Functional Connectivity Analysis of Neuroimaging Data
Irreversible Samplers from Jump and Continuous Markov Processes
Identifiability and Estimation of Structural Vector Autoregressive Models for Subsampled and Mixed Frequency Time Series.
Control Variates for Stochastic Gradient MCMC
sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo
Journal paper
Journal of Statistical Software, Volume 91, Issue 3, Pages 1-27
Publication year: 2018
Dynamics of Homelessness in Urban America
Journal paper
Annals of Applied Statistics, Volume 13, Number 1, Pages 573-605
Publication year: 2018
Comment: Nonparametric Bayes Modeling of Populations of Networks
Journal paper
Journal of the American Statistical Association, Vol. 112, No. 520, pp. 1539-1543
Publication year: 2018
Sparse Graphs using Exchangeable Random Measures
Journal paper
Journal of the Royal Statistical Society: Series B (read paper), Vol. 79, No. 5, pp. 1295-1366
Publication year: 2017
Clustering Correlated, Sparse Data Streams to Estimate a Localized Housing Price Index
Temporal Behavior of Seizures and Interictal Bursts in Prolonged Intracranial Recordings from Epileptic Canines
Spatio-Temporal Low Count Processes with Application to Violent Crime Events
Mining Continuous Intracranial EEG in Focal Canine Epilepsy: Relating Intracranial Bursts to Seizure Onsets
A Novel Seizure Detection Algorithm Informed by Hidden Markov Model Event States
Guest Editors’ Introduction to the Special Issue on Bayesian Nonparametrics
Journal paper
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 2, pp. 209-211
Publication year: 2015
Bayesian Nonparametric Covariance Regression
Modeling the Complex Dynamics and Changing Correlations of Epileptic Events
Joint Modeling of Multiple Time Series via the Beta Process with Application to Motion Capture Segmentation
A Bayesian Approach for Predicting the Popularity of Tweets
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
Journal paper
IEEE Transactions on Signal Processing, vol. 59, no. 4, pp. 1569-1585
Publication year: 2011
A Sticky HDP-HMM with Application to Speaker Diarization
Bayesian Nonparametric Methods for Learning Markov Switching Processes
Detection and Localization of Material Releases with Sparse Sensor Configurations
Journal paper
IEEE Transactions on Signal Processing, vol. 55, no. 5, pp. 1886-1898
Publication year: 2007