Tyler H. McCormick

According to our database, Tyler H. McCormick authored at least 22 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Non-robustness of diffusion estimates on networks with measurement error.

Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Tyler H. McCormick, Samuel Thau, Jerry Wei

CoRR, 2024

Do We Really Even Need Data?

Kentaro Hoffman, Stephen Salerno, Awan Afiaz, Jeffrey T. Leek, Tyler H. McCormick

CoRR, 2024

2023

The openVA Toolkit for Verbal Autopsies.

Zehang Richard Li, Jason Thomas, Eungang Choi, Tyler H. McCormick, Samuel J. Clark

R J., February, 2023

Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies.

Toshiya Yoshida, Trinity Shuxian Fan, Tyler H. McCormick, Zhenke Wu, Zehang Richard Li

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Anomaly Detection in Large-Scale Networks With Latent Space Models.

Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja, Yanran Cui

Technometrics, 2022

Rethinking Nonlinear Instrumental Variable Models through Prediction Validity.

Chunxiao Li, Cynthia Rudin, Tyler H. McCormick

J. Mach. Learn. Res., 2022

Bayesian Hyperbolic Multidimensional Scaling.

Bolun Liu, Shane Lubold, Adrian E. Raftery, Tyler H. McCormick

CoRR, 2022

2021

Spectral goodness-of-fit tests for complete and partial network data.

Shane Lubold, Bolun Liu, Tyler H. McCormick

CoRR, 2021

The "given data" paradigm undermines both cultures.

Tyler H. McCormick

CoRR, 2021

Inference for Network Regression Models with Community Structure.

Mengjie Pan, Tyler H. McCormick, Bailey K. Fosdick

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Identifying the latent space geometry of network models through analysis of curvature.

Shane Lubold, Arun G. Chandrasekhar, Tyler H. McCormick

CoRR, 2020

2019

Anomaly Detection in Large Scale Networks with Latent Space Models.

Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja

CoRR, 2019

Consistently estimating graph statistics using Aggregated Relational Data.

Emily Breza, Arun G. Chandrasekhar, Tyler H. McCormick, Mengjie Pan

CoRR, 2019

Bayesian Joint Spike-and-Slab Graphical Lasso.

Zehang Richard Li, Tyler H. McCormick, Samuel J. Clark

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Standard errors for regression on relational data with exchangeable errors.

Tyler H. McCormick, Bailey K. Fosdick, Frank W. Marrs

CoRR, 2017

Redrawing the 'Color Line': Examining Racial Segregation in Associative Networks on Twitter.

Nina L. Cesare, Hedwig Lee, Tyler H. McCormick, Emma S. Spiro

CoRR, 2017

2016

Examining Community Policing on Twitter: Precinct Use and Community Response.

Nina L. Cesare, Emma S. Spiro, Hedwig Lee, Tyler H. McCormick

Proceedings of the Social Informatics - 8th International Conference, 2016

2015

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model.

Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan

CoRR, 2015

2014

Big data, big results: Knowledge discovery in output from large-scale analytics.

Tyler H. McCormick, Rebecca Ferrell, Alan F. Karr, Patrick B. Ryan

Stat. Anal. Data Min., 2014

Analytics for Power Grid Distribution Reliability in New York City.

Cynthia Rudin, Seyda Ertekin, Rebecca J. Passonneau, Axinia Radeva, Ashish Tomar, Boyi Xie, Stanley Lewis, Mark Riddle, Debbie Pangsrivinij, Tyler H. McCormick

Interfaces, 2014

2013

An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis.

Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

Predicting Power Failures with Reactive Point Processes.

Seyda Ertekin, Cynthia Rudin, Tyler H. McCormick

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013