Erich Kummerfeld

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Conditional Independence

Causal Discovery

Top Venues

Publications

Bryan Andrews, Erich Kummerfeld
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method. CoRR (2024)
Erich Kummerfeld, Leland Williams, Sisi Ma
Power analysis for causal discovery. Int. J. Data Sci. Anal. 17 (3) (2024)
Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees. NeurIPS (2023)
Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees. CoRR (2023)
Eric Rawls, Bryan Andrews, Kelvin Lim, Erich Kummerfeld
Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study. CoRR (2023)
Eric Rawls, Casey Gilmore, Erich Kummerfeld, Kelvin Lim, Tasha Nienow
A Computational Framework for EEG Causal Oscillatory Connectivity. CAWS (2023)
Andrew Colt Deckert, Erich Kummerfeld
Investigating the effect of binning on causal discovery. CoRR (2022)
Jianqiu Zhang, Erich Kummerfeld, Gretchen M. Hultman, Paul E. Drawz, Terrence Adams, György J. Simon, Genevieve B. Melton
Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR. AMIA (2022)
Eric Rawls, Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, Anna Zilverstand
The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks. NeuroImage 255 (2022)
Brittany Stevenson, Erich Kummerfeld, Jennifer Merrill
Applying Causal Discovery to Intensive Longitudinal Data. CAWS (2021)
Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR (2021)
Erich Kummerfeld, Thomas Woolf, Will Glad, Michèle Sebag, Sisi Ma
Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion. CAWS (2021)
Erich Kummerfeld, Alexander Rix
Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. CoRR (2019)
Erich Kummerfeld, Alexander Rix, Justin Anker, Matt Kushner
Assessing the collective utility of multiple analyses on clinical alcohol use disorder data. J. Am. Medical Informatics Assoc. 26 (10) (2019)
Andrew Colt Deckert, Erich Kummerfeld
Investigating the effect of binning on causal discovery. BIBM (2019)
Suresh K. Bhavnani, Shyam Visweswaran, Erich Kummerfeld, Carlos Clark, Rebekah Penton
Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science? AMIA (2019)
Erich Kummerfeld, Alexander Rix
Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. BIBM (2019)
Sisi Ma, Thomas Kirsh, Erich Kummerfeld, Melissa Fisher, Brandon Schermitzler, Sophia Vinogradov
Constructing Instrument Mapping Using Markov Boundary Techniques: A Case Study with Two Quality of Life Instruments. BIBM (2019)
Erich Kummerfeld, Justin Anker, Alexander Rix, Matt Kushner
Methodological Advances in the Study of Hidden Variables: A Demonstration on Clinical Alcohol Use Disorder Data. AMIA (2018)
Erich Kummerfeld, Joseph D. Ramsey
Causal Clustering for 1-Factor Measurement Models. KDD (2016)
Erich Kummerfeld, David Danks
Erratum to: Model change and methodological virtues in scientific inference. Synth. 191 (14) (2014)
Erich Kummerfeld, David Danks
Model change and reliability in scientific inference. Synth. 191 (12) (2014)
Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines
Causal Clustering for 2-Factor Measurement Models. ECML/PKDD (2) (2014)
Erich Kummerfeld, David Danks
Tracking Time-varying Graphical Structure. NIPS (2013)