Emily Beth Fox
Stanford University
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All types ( 81 )
Book chapter ( 1 )
Conference paper ( 30 )
Journal paper ( 29 )
Other publication ( 2 )
Preprint ( 7 )
Thesis ( 2 )
Workshop paper ( 12 )
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Granger Causality: A Review and Recent Advances
Journal paper
Preprint
Ali Shojaie and Emily B. Fox
Annual Review of Statistics and its Application, Volume 9
Publication year: 2022
The Convex Mixture Distribution: Granger Causality for Categorical Time Series
Journal paper
Alex Tank, Xiudi Li, Emily B. Fox, and Ali Shojaie
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 paper
Preprint
Alex Tank, Ian Covert, Nicholas Foti, Ali Shojaie, Emily B. Fox
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
Journal paper
Sean Jewell, Joseph Futoma, Lauren Hannah, Andrew Miller, Nicholas Foti, Emily B. Fox
Nature (npj) Digital Medicine, Volume 4, Issue 152
Publication year: 2021
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Journal paper
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily Fox, and Hugo Larochelle
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
Journal paper
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Observational Studies, Volume 7, Issue 1, Pages 161-169
Publication year: 2021
Stochastic Gradient MCMC for State Space Models
Journal paper
Christopher Aicher, Yian Ma, Nicholas Foti, and Emily B. Fox
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
Journal paper
Nicholas Foti and Emily B. Fox
Current Opinion in Neurobiology, Volume 55, Pages 48-54
Publication year: 2019
Irreversible Samplers from Jump and Continuous Markov Processes
Journal paper
Yi-An Ma, Emily B. Fox, Tianqi Chen, & Lei Wu
Statistics and Computing, Volume 29, Issue 1, Pages 177–202
Publication year: 2019
Identifiability and Estimation of Structural Vector Autoregressive Models for Subsampled and Mixed Frequency Time Series.
Journal paper
Alex Tank, Emily B. Fox, and Ali Shojaie
Biometrika, Volume 106, Issue 2, Pages 433–452
Publication year: 2019
Control Variates for Stochastic Gradient MCMC
Journal paper
Jack Baker, Paul Fearnhead, Emily B. Fox, & Christopher Nemeth
Statistics and Computing, Volume 29, Issue 3, Pages 599–615
Publication year: 2019
sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo
Journal paper
Jack Baker, Paul Fearnhead, Emily B. Fox, and Chris Nemeth
Journal of Statistical Software, Volume 91, Issue 3, Pages 1-27
Publication year: 2018
Dynamics of Homelessness in Urban America
Journal paper
Chris Glynn and Emily B. Fox
Annals of Applied Statistics, Volume 13, Number 1, Pages 573-605
Publication year: 2018
Comment: Nonparametric Bayes Modeling of Populations of Networks
Journal paper
Nicholas Foti and Emily B. Fox
Journal of the American Statistical Association, Vol. 112, No. 520, pp. 1539-1543
Publication year: 2018
Sparse Graphs using Exchangeable Random Measures
Journal paper
Francois Caron and Emily B. Fox
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
Journal paper
You Ren, Emily B. Fox, & Andrew Bruce
Annals of Applied Statistics, Vol. 11, No. 2, pp. 808-839
Publication year: 2017
Temporal Behavior of Seizures and Interictal Bursts in Prolonged Intracranial Recordings from Epileptic Canines
Journal paper
Haomeng Ung, Kathryn Davis, Drausin Wulsin, Joost Wagenaar, Emily B. Fox, J. McDonnell, Edward Patterson, Charles Vite, Gregory Worrell, & Brian Litt
Epilepsia, vol. 57, no. 12, pp. 1949-1957
Publication year: 2016
Spatio-Temporal Low Count Processes with Application to Violent Crime Events
Journal paper
Sivan Aldor-Noiman, Lawrence D. Brown, Emily B. Fox, & Robert A. Stine
Statistica Sinica, vol. 26, pp. 1587-1610
Publication year: 2016
Mining Continuous Intracranial EEG in Focal Canine Epilepsy: Relating Intracranial Bursts to Seizure Onsets
Journal paper
Kathryn Davis, Drausin Wulsin, Haomeng Ung, Joost Wagenaar, Emily B. Fox, Edward Patterson, Charles Vite, Gregory Worrel, & Brian Litt
Epilepsia, vol. 57, no. 1, pp. 89-98
Publication year: 2016
A Novel Seizure Detection Algorithm Informed by Hidden Markov Model Event States
Journal paper
Steven Baldassano, Drausin Wulsin, Haomeng Ung, Tyler Blevins, Mesha-Gay Brown, Emily B. Fox, & Brian Litt
Journal of Neural Engineering, vol. 13, no. 3
Publication year: 2016
Guest Editors’ Introduction to the Special Issue on Bayesian Nonparametrics
Journal paper
Ryan P. Adams, Emily B. Fox, Erik B. Sudderth, & Yee Whye Teh
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 2, pp. 209-211
Publication year: 2015
Bayesian Nonparametric Covariance Regression
Journal paper
Emily B. Fox and David B. Dunson
Journal of Machine Learning Research, vol. 16, pp. 2501-2542
Publication year: 2015
Modeling the Complex Dynamics and Changing Correlations of Epileptic Events
Journal paper
Drausin F. Wulsin, Emily B. Fox, & Brian Litt
Artificial Intelligence, vol. 216, pp. 55-75
Publication year: 2014
Joint Modeling of Multiple Time Series via the Beta Process with Application to Motion Capture Segmentation
Journal paper
Emily B. Fox, Michael C. Hughes, Erik B. Sudderth, & Michael I. Jordan
Annals of Applied Statistics, vol. 8, no. 3, pp. 1281-1313
Publication year: 2014
A Bayesian Approach for Predicting the Popularity of Tweets
Journal paper
Tauhid Zaman, Emily B. Fox, & Eric T. Bradlow
Annals of Applied Statistics, vol. 8, no. 3, pp. 1583-1611
Publication year: 2014
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
Journal paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
IEEE Transactions on Signal Processing, vol. 59, no. 4, pp. 1569-1585
Publication year: 2011
A Sticky HDP-HMM with Application to Speaker Diarization
Journal paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
Annals of Applied Statistics, vol. 5, no. 2A, pp. 1020-1056
Publication year: 2011
Bayesian Nonparametric Methods for Learning Markov Switching Processes
Journal paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
IEEE Signal Processing Magazine, vol. 27, no. 6, pp. 43-54
Publication year: 2010
Detection and Localization of Material Releases with Sparse Sensor Configurations
Journal paper
Emily B. Fox, John W. Fisher, & Alan S. Willsky
IEEE Transactions on Signal Processing, vol. 55, no. 5, pp. 1886-1898
Publication year: 2007