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Special Issue: Ninth International Symposium on Imprecise Probability: Theory and Applications (ISIPTA'15)., , and . Int. J. Approx. Reason., (2017)Accounting for Gaussian Process Imprecision in Bayesian Optimization., and . IUKM, volume 13199 of Lecture Notes in Computer Science, page 92-104. Springer, (2022)Powerful algorithms for decision making under partial prior information and general ambiguity attitudes., and . ISIPTA, page 349-358. SIPTA, (2005)Globally Least Favorable Pairs and Neyman-Pearson Testing under Interval Probability.. ISIPTA, page 15-23. (1999)Levelwise Data Disambiguation by Cautious Superset Classification., , , and . SUM, volume 13562 of Lecture Notes in Computer Science, page 263-276. Springer, (2022)Towards a Cautious Modelling of Missing Data in Small Area Estimation., , and . ISIPTA, volume 62 of Proceedings of Machine Learning Research, page 253-264. PMLR, (2017)Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge., , and . ISIPTA, volume 147 of Proceedings of Machine Learning Research, page 201-209. PMLR, (2021)Learning from Categorical Data Subject to Non-random Misclassification and Non-response Under Prior Quasi-Near-Ignorance Using an Imprecise Dirichlet Model., , and . IPMU (2), volume 1602 of Communications in Computer and Information Science, page 532-544. Springer, (2022)Neyman-Pearson testing under interval probability by globally least favorable pairs: Reviewing Huber-Strassen theory and extending it to general interval probability. Journal of Statistical Planning and Inference, 105 (1): 149--173 (Jun 15, 2002)Editorial issue 3 + 4, 2023., , , and . AStA Wirtschafts und Sozialstatistisches Arch., 17 (3): 191-194 (December 2023)