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Adding glycemic and physical activity metrics to a multimodal algorithm-enabled decision-support tool for type 1 diabetes care: Keys to implementation and opportunities

Journal paper
Dessi P. Zaharieva, Ransalu Senanayake, Conner Brown, Brendan Watkins, Glenn Loving, Priya Prahalad, Johannes O. Ferstad, Carlos Guestrin, Emily B. Fox, David M. Maahs and David Scheinker
Frontiers in Endocrinology, Volume 13
Publication year: 2023

A pharmacokinetic model of anti-seizure medication load to guide care in the Epilepsy Monitoring Unit

Journal paper
Nina J. Ghosn, Kevin Xie, Akash R. Pattnaik, James J. Gugger, Colin A. Ellis, Elizabeth Sweeney, Emily B. Fox, John M. Bernabei, Jenaye Johnson, Jacqueline Boccanfuso, Brian Litt, Erin C. Conrad
Epilepsia, Volume 64, Issue 5, Pages 1236-1247
Publication year: 2023

Statistical Deconvolution for Inference of Infection Time Series

Journal paper
Andrew C. Miller, Lauren Hannah, Joseph Futoma, Nicholas J. Foti, Emily B. Fox, Alexander D’Amour, Mark Sandler, Rif A. Saurous, Joseph A. Lewnard
Epidemiology, Volume 33, Issue 4, Pages 470-479
Publication year: 2022

Granger Causality: A Review and Recent Advances

Journal paper
Ali Shojaie and Emily B. Fox
Annual Review of Statistics and its Application, Volume 9, Pages 289-319
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
Alex Tank, Ian Covert, Nicholas Foti, Ali Shojaie, Emily B. Fox
IEEE Transaction on Pattern Analysis and Machine Intelligence, Volume 44, Issue 8, Pages 4267-4279
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