Publications

Zachary G. Davis, Justin Petrovich (2024). A Functional Covid Recovery: Applying Functional Data Analysis to the Post-Covid Economic Recovery. In preparation.

Bahaeddine Taoufik, Justin Petrovich, Sungwook Kim (2024). Functional Data Models for Dose Finding Studies with Meta Data. Submitted.

Justin Petrovich (2023). Review of Wild Problems: A Guide to the Decisions that Define Us. In Conversatio.

Justin Petrovich, Bahaeddine Taoufik, Zachary Davis (2023). Instrumental variable estimation for functional concurrent regression models. In J Appl Stat.

Bethany A. Rallis, Justin Petrovich, Brett E. Scofield, Sangsun Kim, Benjamin D. Locke (2023). A comparison of treatment response between college students with and without suicide risk at university counseling centers. In Cogent Mental Health.

Justin Petrovich, Matthew Reimherr, Carrie Daymont (2022). Highly Irregular Functional Generalized Linear Regression with Electronic Health Records. In J R Stat Soc Ser C Appl Stat.

Justin Petrovich (2021). Uncertainty is Beautiful. In Conversatio.

Jeffrey A. Hayes, Justin Petrovich, Rebecca A. Janis, Runze Li, Ying Yang, Louis G. Castonguay, Benjamin D. Locke (2020). Suicide Among College Students in Psychotherapy: Individual Predictors and Latent Classes. In J Couns Psychol.

John J. Dziak, Donna L. Coffman, Matthew Reimherr, Justin Petrovich, Runze Li, Saul Shiffman, Mariya P. Shiyko (2019). Scalar-on-Function Regression for Predicting Distal Outcomes from Intensively Gathered Longitudinal Data: Interpretability for Applied Scientists. In Stat Surv.

Justin Petrovich, Matthew Reimherr (2017). Asymptotic Properties of Principal Component Projections with Repeated Eigenvalues. In Stat Probab Lett.

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