Dependent Data
Time Series
Simulation
Machine Learning
Kurtz-Garcia, R. P., Teaching Iterative Methods in R. In preparation.
Kurtz-Garcia, R. P., Flegal, J., Inference Optimal Long Run Variance Estimation with Lugsail Kernels. To be submitted to Bernoulli.
Kurtz-Garcia, R. P. (2023). Testing Optimal Bandwidth for Zero Lugsail Estimators. (Disseration).
Flegal, James M., and Rebecca P. Kurtz-Garcia.(2024). Implementing MCMC: Multivariate estimation with confidence.(arXiv preprint arXiv:2408.15396).
Pickerill, E. S., Kurtz, R. P., Tharp, A., Guerrero Sanz, P., Begum, M., & Bernstein, D. A. (2019). Pseudouridine synthase 7 impacts Candida albicans rRNA processing and morphological plasticity. Yeast, 36(11), 669-677.
Kurtz, R. P. (2018). Reality Competition Programs: Are You In Or Are You Out?. (Masters Thesis).
Patrick, J., Haniyur, S., Kurtz, R. P., Nakano, B. & Tse, L.(2016). Solar Irradiance Covariance Modeling for Sacramento County. Undergraduate research project funded by NSF.
Dissertation Year Program Award at UCR (2022-2023)
Best Presentation of Original Research Award at NISS Graduate Student Research Conference (2022)
Graduate Student Association Travel Grant at UCR (2022)
Earl C. Anthony Graduate Student Travel Award at UCR (2022)
Outstanding Statistical Consultation Award and Recognition at UCR (2020)
Dr. Mir Masoom Ali Scholarship, Ball State University (2018)