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Lopez, Velma K; Cramer, Estee Y; Pagano, Robert; Drake, John M; O'Dea, Eamon B; Adee, Madeline; Ayer, Turgay; Chhatwal, Jagpreet; Dalgic, Ozden O; Ladd, Mary A; Linas, Benjamin P; Mueller, Peter P; Xiao, Jade; Bracher, Johannes; Castro Rivadeneira, Alvaro J; Gerding, Aaron; Gneiting, Tilmann; Huang, Yuxin; Jayawardena, Dasuni; Kanji, Abdul H; ... (2024). Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS computational biology, 20(5), e1011200. Public Library of Science 10.1371/journal.pcbi.1011200
Cramer, Estee Y; Ray, Evan L; Lopez, Velma K; Bracher, Johannes; Brennen, Andrea; Castro Rivadeneira, Alvaro J; Gerding, Aaron; Gneiting, Tilmann; House, Katie H; Huang, Yuxin; Jayawardena, Dasuni; Kanji, Abdul H; Khandelwal, Ayush; Le, Khoa; Mühlemann, Anja; Niemi, Jarad; Shah, Apurv; Stark, Ariane; Wang, Yijin; Wattanachit, Nutcha; ... (2022). Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America - PNAS, 119(15), e2113561119. National Academy of Sciences NAS 10.1073/pnas.2113561119
Mühlemann, Anja; Ziegel, Johanna F. (2022). Isotonic regression for elicitable functionals and their Bayes risk. Electronic journal of statistics, 16(2), pp. 3836-3860. Institute of Mathematical Statistics 10.1214/22-EJS2034
Molchanov, Ilya; Mühlemann, Anja (2021). Nonlinear expectations of random sets. Finance and stochastics, 25(1), pp. 5-41. Springer-Verlag 10.1007/s00780-020-00442-3
Jordan, Alexander I.; Mühlemann, Anja; Ziegel, Johanna F. (2021). Characterizing the optimal solutions to the isotonic regression problem for identifiable functionals. Annals of the Institute of Statistical Mathematics, 74(3), pp. 489-514. Springer 10.1007/s10463-021-00808-0
Dümbgen, Lutz; Mühlemann, Anja; Ziegel, Johanna F.; Brunnhofer, Ursina; Bürki, Martin; Kaeslin, Livio; Rodriguez, Georg (2018). Kalibrierung von Quell-Ziel-Matrizen (Technische Berichte 79). IMSV
