Research

Publications

Kunke, J.P., I. Laga, X. Niu, T.H. McCormick (2024), Comparing the Robustness of Simple Network Scale-Up Method Estimators. Sociological Methodology, 54(2), 385-403. DOI: 10.1177/00811750241242791.
Laga, I., J.P. Kunke, T.H. McCormick, X. Niu, The Role of Scaling and Estimating the Degree Ratio in the Network Scale-up Method. Preprint.
Kunke, J.P., A. Visokay, T.H. McCormick (2023), Respondent-Driven Sampling: An Overview in the Context of Human Trafficking, CHANCE, 36:4, 15-21. DOI: 10.1080/09332480.2023.2290949.
Wang, Z., C. Peterson, Q. Zhou, R. Subramanian, J. Kunke, A. Baker, D. Hammerling (2021), Characterizing Internal Variability and Detecting Changes in Model and Computational Parameters in a Century-Long CESM Ensemble (No. NCAR/ TN-569+STR). DOI: 10.5065/m291-1410.

Poster, ENVR Workshop 2024, Boulder CO, “Scalable spatial stream network models”
Talk, Joint Statistical Meetings (JSM) 2024, Portland, OR, “Comparing the robustness of simple network scale-up method (NSUM) estimators”
Panel proposer and chair, Women in Statistics and Data Science (WSDS) 2023, Bellevue, WA, “Frontiers, challenges and progress in human trafficking-related statistics”
Poster, JSM 2023, Toronto, Canada, “Network scale-up model (NSUM) estimators: Is the average of ratios or ratio of averages more robust?”
Talk, JSM 2022, Washington, DC, “Average of ratios or ratio of averages? Revisiting simple network scale-up estimators”
Talk, University of Chicago Environmental Data Science Lunch Series, June 2022, “Introduction to causal inference for environmental applications”
Talk, Chicago-Area SIAM Student Conference 2020, “A nonstationary Gaussian process model for forecasting solar irradiance at Earth’s surface” (MS thesis)
Poster, Argonne National Laboratory Open House, Feb 2020, “How can we forecast available solar energy for power grid distributors?”