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Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|November 5, 2024
Anomaly Detection in Large-Scale Networks With Latent Space ModelsWesley Lee, Tyler H McCormick, Joshua Neil, et al.
Applied Stochastic Models in Business and Industry|July 3, 2018
Inferring social structure from continuous-time interaction dataWesley Lee, Bailey K Fosdick, Tyler H McCormick
The Annals of Applied Statistics|March 12, 2016
LATENT DEMOGRAPHIC PROFILE ESTIMATION IN HARD-TO-REACH GROUPSTyler H McCormick, Tian Zheng
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|October 9, 2020
An Expectation Conditional Maximization approach for Gaussian graphical modelsZehang Richard Li, Tyler H McCormick
The Annals of Applied Statistics|May 4, 2018
LATENT SPACE MODELS FOR MULTIVIEW NETWORK DATAMichael Salter-Townshend, Tyler H McCormick
Journal of Machine Learning Research : JMLR|November 7, 2024
Rethinking Nonlinear Instrumental Variable Models through Prediction ValidityChunxiao Li, Cynthia Rudin, Tyler H McCormick
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2020
Methods for correcting inference based on outcomes predicted by machine learningSiruo Wang, Tyler H McCormick, Jeffrey T Leek
Journal of the American Statistical Association|June 5, 2013
How many people do you know?: Efficiently estimating personal network sizeTyler H McCormick, Matthew J Salganik, Tian Zheng
Proceedings of Machine Learning Research|February 1, 2021
Bayesian Joint Spike-and-Slab Graphical LassoZehang Richard Li, Tyler H McCormick, Samuel J Clark
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