Predicting Power Failures with Reactive Point Processes. - Seyda Ertekin; Cynthia Rudin; Tyler H. McCormick (AAAI (Late-Breaking Developments), 2013)

An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis. - Benjamin Letham; Cynthia Rudin; Tyler H. McCormick; David Madigan (AAAI (Late-Breaking Developments), 2013)

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)

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)

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model. - Benjamin Letham; Cynthia Rudin; Tyler H. McCormick; David Madigan (CoRR, 2015)

Examining Community Policing on Twitter: Precinct Use and Community Response. - Nina L. Cesare; Emma S. Spiro; Hedwig Lee; Tyler H. McCormick (SocInfo (1), 2016)

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)

Standard errors for regression on relational data with exchangeable errors. - Tyler H. McCormick; Bailey K. Fosdick; Frank W. Marrs (CoRR, 2017)

Bayesian Joint Spike-and-Slab Graphical Lasso. - Zehang Richard Li; Tyler H. McCormick; Samuel J. Clark (ICML, 2019)

Consistently estimating graph statistics using Aggregated Relational Data. - Emily Breza; Arun G. Chandrasekhar; Tyler H. McCormick; Mengjie Pan (CoRR, 2019)

Anomaly Detection in Large Scale Networks with Latent Space Models. - Wesley Lee; Tyler H. McCormick; Joshua Neil; Cole Sodja (CoRR, 2019)

Identifying the latent space geometry of network models through analysis of curvature. - Shane Lubold; Arun G. Chandrasekhar; Tyler H. McCormick (CoRR, 2020)

Inference for Network Regression Models with Community Structure. - Mengjie Pan; Tyler H. McCormick; Bailey K. Fosdick (ICML, 2021)

The "given data" paradigm undermines both cultures. - Tyler H. McCormick (CoRR, 2021)

Spectral goodness-of-fit tests for complete and partial network data. - Shane Lubold; Bolun Liu; Tyler H. McCormick (CoRR, 2021)

Asymptotically Normal Estimation of Local Latent Network Curvature. - Steven Wilkins-Reeves; Tyler H. McCormick (CoRR, 2022)

Rethinking Nonlinear Instrumental Variable Models through Prediction Validity. - Chunxiao Li; Cynthia Rudin; Tyler H. McCormick (J. Mach. Learn. Res., 2022)

Anomaly Detection in Large-Scale Networks With Latent Space Models. - Wesley Lee; Tyler H. McCormick; Joshua Neil; Cole Sodja; Yanran Cui (Technometrics, 2022)

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 (CHIL, 2023)

Sequential estimation of temporally evolving latent space network models. - Kathryn Turnbull; Christopher Nemeth; Matthew A. Nunes; Tyler H. McCormick (Comput. Stat. Data Anal., 2023)

The openVA Toolkit for Verbal Autopsies. - Zehang Richard Li; Jason Thomas; Eungang Choi; Tyler H. McCormick; Samuel J. Clark (R J., 2023)

Do We Really Even Need Data? - Kentaro Hoffman; Stephen Salerno; Awan Afiaz; Jeffrey T. Leek; Tyler H. McCormick (CoRR, 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)

Robustly estimating heterogeneity in factorial data using Rashomon Partitions. - Aparajithan Venkateswaran; Anirudh Sankar; Arun G. Chandrasekhar; Tyler H. McCormick (CoRR, 2024)

From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives. - Shuxian Fan; Adam Visokay; Kentaro Hoffman; Stephen Salerno; Li Liu; Jeffrey T. Leek; Tyler H. McCormick (CoRR, 2024)

Model-Based Inference and Experimental Design for Interference Using Partial Network Data. - Steven Wilkins-Reeves; Shane Lubold; Arun G. Chandrasekhar; Tyler H. McCormick (CoRR, 2024)

Bayesian Hyperbolic Multidimensional Scaling. - Bolun Liu; Shane Lubold; Adrian E. Raftery; Tyler H. McCormick (J. Comput. Graph. Stat., 2024)

Unique Rashomon Sets for Robust Active Learning. - Simon Nguyen; Kentaro Hoffman; Tyler H. McCormick (CoRR, 2025)