Tyler H. McCormick

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Regression Model

Relational Data

Experimental Design

Top Venues

Stat. Anal. Data Min.

Publications

Steven Wilkins-Reeves, Shane Lubold, Arun G. Chandrasekhar, Tyler H. McCormick
Model-Based Inference and Experimental Design for Interference Using Partial Network Data. CoRR (2024)
Aparajithan Venkateswaran, Anirudh Sankar, Arun G. Chandrasekhar, Tyler H. McCormick
Robustly estimating heterogeneity in factorial data using Rashomon Partitions. CoRR (2024)
Kentaro Hoffman, Stephen Salerno, Awan Afiaz, Jeffrey T. Leek, Tyler H. McCormick
Do We Really Even Need Data? CoRR (2024)
Shuxian Fan, Adam Visokay, Kentaro Hoffman, Stephen Salerno, Li Liu, Jeffrey T. Leek, Tyler H. McCormick
From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives. CoRR (2024)
Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Tyler H. McCormick, Samuel Thau, Jerry Wei
Non-robustness of diffusion estimates on networks with measurement error. CoRR (2024)
Zehang Richard Li, Jason Thomas, Eungang Choi, Tyler H. McCormick, Samuel J. Clark
The openVA Toolkit for Verbal Autopsies. R J. 14 (4) (2023)
Toshiya Yoshida, Trinity Shuxian Fan, Tyler H. McCormick, Zhenke Wu, Zehang Richard Li
Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies. CHIL (2023)
Bolun Liu, Shane Lubold, Adrian E. Raftery, Tyler H. McCormick
Bayesian Hyperbolic Multidimensional Scaling. CoRR (2022)
Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja, Yanran Cui
Anomaly Detection in Large-Scale Networks With Latent Space Models. Technometrics 64 (2) (2022)
Chunxiao Li, Cynthia Rudin, Tyler H. McCormick
Rethinking Nonlinear Instrumental Variable Models through Prediction Validity. J. Mach. Learn. Res. 23 (2022)
Mengjie Pan, Tyler H. McCormick, Bailey K. Fosdick
Inference for Network Regression Models with Community Structure. ICML (2021)
Mengjie Pan, Tyler H. McCormick, Bailey K. Fosdick
Inference for Network Regression Models with Community Structure. CoRR (2021)
Tyler H. McCormick
The "given data" paradigm undermines both cultures. CoRR (2021)
Shane Lubold, Bolun Liu, Tyler H. McCormick
Spectral goodness-of-fit tests for complete and partial network data. CoRR (2021)
Shane Lubold, Arun G. Chandrasekhar, Tyler H. McCormick
Identifying the latent space geometry of network models through analysis of curvature. CoRR (2020)
Emily Breza, Arun G. Chandrasekhar, Tyler H. McCormick, Mengjie Pan
Consistently estimating graph statistics using Aggregated Relational Data. CoRR (2019)
Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja
Anomaly Detection in Large Scale Networks with Latent Space Models. CoRR (2019)
Zehang Richard Li, Tyler H. McCormick, Samuel J. Clark
Bayesian Joint Spike-and-Slab Graphical Lasso. ICML (2019)
Zehang Richard Li, Tyler H. McCormick, Samuel J. Clark
Bayesian Joint Spike-and-Slab Graphical Lasso. CoRR (2018)
Nina Cesare, Hedwig Lee, Tyler H. McCormick, Emma S. Spiro
Redrawing the 'Color Line': Examining Racial Segregation in Associative Networks on Twitter. CoRR (2017)
Tyler H. McCormick, Bailey K. Fosdick, Frank W. Marrs
Standard errors for regression on relational data with exchangeable errors. CoRR (2017)
Nina Cesare, Emma S. Spiro, Hedwig Lee, Tyler H. McCormick
Examining Community Policing on Twitter: Precinct Use and Community Response. SocInfo (1) (2016)
Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model. CoRR (2015)
Cynthia Rudin, Seyda Ertekin, Rebecca J. Passonneau, Axinia Radeva, Ashish Tomar, Boyi Xie, Stanley Lewis, Mark Riddle, Debbie Pangsrivinij, Tyler H. McCormick
Analytics for Power Grid Distribution Reliability in New York City. Interfaces 44 (4) (2014)
Tyler H. McCormick, Rebecca Ferrell, Alan F. Karr, Patrick B. Ryan
Big data, big results: Knowledge discovery in output from large-scale analytics. Stat. Anal. Data Min. 7 (5) (2014)
Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan
An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis. AAAI (Late-Breaking Developments) (2013)
Seyda Ertekin, Cynthia Rudin, Tyler H. McCormick
Predicting Power Failures with Reactive Point Processes. AAAI (Late-Breaking Developments) (2013)