Globally Least Favorable Pairs and Neyman-Pearson Testing under Interval Probability. - Thomas Augustin 001 (ISIPTA, 1999)

On Decision Making under Ambiguous Prior and Sampling Information. - Thomas Augustin 001 (ISIPTA, 2001)

On the Suboptimality of the Generalized Bayes Rule and Robust Bayesian Procedures from the Decision Theoretic Point of View — a Cautionary Note on Updating Imprecise Priors. - Thomas Augustin 001 (ISIPTA, 2003)

On the Symbiosis of Two Concepts of Conditional Interval Probability. - Kurt Weichselberger; Thomas Augustin 001 (ISIPTA, 2003)

Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model. - Frank P. A. Coolen; Thomas Augustin 001 (ISIPTA, 2005)

Powerful algorithms for decision making under partial prior information and general ambiguity attitudes. - Lev V. Utkin; Thomas Augustin 001 (ISIPTA, 2005)

Generalized basic probability assignments. - Thomas Augustin 001 (Int. J. Gen. Syst., 2005)

Unbiased split selection for classification trees based on the Gini Index. - Carolin Strobl; Anne-Laure Boulesteix; Thomas Augustin 001 (Comput. Stat. Data Anal., 2007)

Decision making under incomplete data using the imprecise Dirichlet model. - Lev V. Utkin; Thomas Augustin 001 (Int. J. Approx. Reason., 2007)

Conditional variable importance for random forests. - Carolin Strobl; Anne-Laure Boulesteix; Thomas Kneib; Thomas Augustin 001; Achim Zeileis (BMC Bioinform., 2008)

Bayesian learning for a class of priors with prescribed marginals. - Hermann Held; Thomas Augustin 001; Elmar Kriegler (Int. J. Approx. Reason., 2008)

A Contribution to Integrated Driver Modeling: A Coherent Framework for Modeling Both Non-routine and Routine Elements of the Driving Task. - Andreas Mihalyi; Barbara Deml; Thomas Augustin 001 (HCI (11), 2009)

Imprecise probability models and their applications. - Thomas Augustin 001; Enrique Miranda 001; Jirina Vejnarová (Int. J. Approx. Reason., 2009)

A nonparametric predictive alternative to the Imprecise Dirichlet Model: The case of a known number of categories. - Frank P. A. Coolen; Thomas Augustin 001 (Int. J. Approx. Reason., 2009)

Imprecise probability in statistical inference and decision making. - Thomas Augustin 001; Frank P. A. Coolen; Serafín Moral; Matthias C. M. Troffaes (Int. J. Approx. Reason., 2010)

Foundations of Probability. - Thomas Augustin 001; Marco E. G. V. Cattaneo (International Encyclopedia of Statistical Science, 2011)

Imprecise Probability. - Frank P. A. Coolen; Matthias C. M. Troffaes; Thomas Augustin 001 (International Encyclopedia of Statistical Science, 2011)

Partially identified prevalence estimation under misclassification using the kappa coefficient. - Helmut Küchenhoff; Thomas Augustin 001; Anne Kunz (Int. J. Approx. Reason., 2012)

Information-based dissimilarity assessment in Dempster-Shafer theory. - Atiye Sarabi-Jamab; Babak Nadjar Araabi; Thomas Augustin 001 (Knowl. Based Syst., 2013)

Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data. - Georg Schollmeyer; Thomas Augustin 001 (Int. J. Approx. Reason., 2015)

Statistical Matching of Discrete Data by Bayesian Networks. - Eva Endres; Thomas Augustin 001 (Probabilistic Graphical Models, 2016)

Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence. - Julia Plass; Marco E. G. V. Cattaneo; Georg Schollmeyer; Thomas Augustin 001 (SMPS, 2016)

Decision Theory Meets Linear Optimization Beyond Computation. - Christoph Jansen; Thomas Augustin 001; Georg Schollmeyer (ECSQARU, 2017)

Kurt Weichselberger's Contribution to Imprecise Probabilities. - Thomas Augustin 001; Rudolf Seising (ISIPTA, 2017)

(Generalized) Linear Regression on Microaggregated Data - From Nuisance Parameter Optimization to Partial Identification. - Paul Fink; Thomas Augustin 001 (ISIPTA, 2017)

Towards a Cautious Modelling of Missing Data in Small Area Estimation. - Julia Plass; Aziz Omar; Thomas Augustin 001 (ISIPTA, 2017)

Special Issue: Ninth International Symposium on Imprecise Probability: Theory and Applications (ISIPTA'15). - Thomas Augustin 001; Serena Doria; Massimo Marinacci (Int. J. Approx. Reason., 2017)

Imprecise probability: Theories and applications. - Thomas Augustin 001; Serena Doria; Massimo Marinacci (Int. J. Approx. Reason., 2017)

On the testability of coarsening assumptions: A hypothesis test for subgroup independence. - Julia Plass; Marco E. G. V. Cattaneo; Georg Schollmeyer; Thomas Augustin 001 (Int. J. Approx. Reason., 2017)

Imprecise Sampling Models for Modelling Unobserved Heterogeneity? Basic Ideas of a Credal Likelihood Concept. - Thomas Augustin 001 (SUM, 2018)

Kurt Weichselberger's contribution to imprecise probabilities and statistical inference. - Thomas Augustin 001; Rudolf Seising (Int. J. Approx. Reason., 2018)

Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences. - Christoph Jansen; Georg Schollmeyer; Thomas Augustin 001 (Int. J. Approx. Reason., 2018)

A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. - Christoph Jansen; Georg Schollmeyer; Thomas Augustin 001 (Math. Soc. Sci., 2018)

Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information. - Luisa Ebner; Patrick Michael Schwaferts; Thomas Augustin 001 (ISIPTA, 2019)

Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas. - Cornelia Fuetterer; Georg Schollmeyer; Thomas Augustin 001 (ISIPTA, 2019)

Imprecise Hypothesis-Based Bayesian Decision Making with Simple Hypotheses. - Patrick Michael Schwaferts; Thomas Augustin 001 (ISIPTA, 2019)

Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability. - Aziz Omar; Thomas Augustin 001 (Int. J. Approx. Reason., 2019)

Undecided Voters as Set-Valued Information - Towards Forecasts Under Epistemic Imprecision. - Dominik Kreiss; Thomas Augustin 001 (SUM, 2020)

Adapted single-cell consensus clustering (adaSC3). - Cornelia Fuetterer; Thomas Augustin 001; Christiane Fuchs (Adv. Data Anal. Classif., 2020)

Internal Validation of Unsupervised Clustering following an Association Accuracy Heuristic. - Cornelia Fuetterer; Thomas Augustin 001 (BIBM, 2021)

Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge. - Dominik Kreiss; Georg Schollmeyer; Thomas Augustin 001 (ISIPTA, 2021)

Imprecise Hypothesis-Based Bayesian Decision Making with Composite Hypotheses. - Patrick Michael Schwaferts; Thomas Augustin 001 (ISIPTA, 2021)

Compressed Rule Ensemble Learning. - Malte Nalenz; Thomas Augustin 001 (AISTATS, 2022)

Decision Making with State-Dependent Preference Systems. - Christoph Jansen; Thomas Augustin 001 (IPMU (1), 2022)

Learning from Categorical Data Subject to Non-random Misclassification and Non-response Under Prior Quasi-Near-Ignorance Using an Imprecise Dirichlet Model. - Aziz Omar; Timo von Oertzen; Thomas Augustin 001 (IPMU (2), 2022)

Accounting for Gaussian Process Imprecision in Bayesian Optimization. - Julian Rodemann; Thomas Augustin 001 (IUKM, 2022)

Levelwise Data Disambiguation by Cautious Superset Classification. - Julian Rodemann; Dominik Kreiss; Eyke Hüllermeier; Thomas Augustin 001 (SUM, 2022)

Nachruf Hans Schneeweiß. - Thomas Augustin 001; Helmut Küchenhoff; Matthias Schmid (AStA Wirtschafts und Sozialstatistisches Arch., 2022)

Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. - Christoph Jansen; Hannah Blocher; Thomas Augustin 001; Georg Schollmeyer (Int. J. Approx. Reason., 2022)

In all likelihoods: robust selection of pseudo-labeled data. - Julian Rodemann; Christoph Jansen; Georg Schollmeyer; Thomas Augustin 001 (ISIPTA, 2023)

Multi-target Decision Making Under Conditions of Severe Uncertainty. - Christoph Jansen; Georg Schollmeyer; Thomas Augustin 001 (MDAI, 2023)

Robust statistical comparison of random variables with locally varying scale of measurement. - Christoph Jansen; Georg Schollmeyer; Hannah Blocher; Julian Rodemann; Thomas Augustin 001 (UAI, 2023)

Approximately Bayes-optimal pseudo-label selection. - Julian Rodemann; Jann Goschenhofer; Emilio Dorigatti; Thomas Nagler; Thomas Augustin 001 (UAI, 2023)

Approximate Bayes Optimal Pseudo-Label Selection. - Julian Rodemann; Jann Goschenhofer; Emilio Dorigatti; Thomas Nagler; Thomas Augustin 001 (CoRR, 2023)

In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning. - Julian Rodemann; Christoph Jansen; Georg Schollmeyer; Thomas Augustin 001 (CoRR, 2023)

Evaluating machine learning models in non-standard settings: An overview and new findings. - Roman Hornung; Malte Nalenz; Lennart Schneider; Andreas Bender 001; Ludwig Bothmann; Bernd Bischl; Thomas Augustin 001; Anne-Laure Boulesteix (CoRR, 2023)

Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. - Christoph Jansen; Malte Nalenz; Georg Schollmeyer; Thomas Augustin 001 (J. Mach. Learn. Res., 2023)

Editorial issue 3 + 4, 2023. - Florian Dumpert; Sebastian Wichert; Thomas Augustin 001; Nina Storfinger (AStA Wirtschafts und Sozialstatistisches Arch., 2023)

Statistical Multicriteria Benchmarking via the GSD-Front. - Christoph Jansen; Georg Schollmeyer; Julian Rodemann; Hannah Blocher; Thomas Augustin 001 (NeurIPS, 2024)

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration. - Julian Rodemann; Federico Croppi; Philipp Arens; Yusuf Sale; Julia Herbinger; Bernd Bischl; Eyke Hüllermeier; Thomas Augustin 001; Conor J. Walsh; Giuseppe Casalicchio (CoRR, 2024)

Imprecise Bayesian optimization. - Julian Rodemann; Thomas Augustin 001 (Knowl. Based Syst., 2024)

Vorwort der Herausgeber. - Jan Pablo Burgard; Markus Zwick; Florian Dumpert; Sebastian Wichert; Thomas Augustin 001; Nina Storfinger (AStA Wirtschafts und Sozialstatistisches Arch., 2024)

Learning de-biased regression trees and forests from complex samples. - Malte Nalenz; Julian Rodemann; Thomas Augustin 001 (Mach. Learn., 2024)

A Statistical Case Against Empirical Human-AI Alignment. - Julian Rodemann; Esteban Garces Arias; Christoph Luther; Christoph Jansen; Thomas Augustin 001 (CoRR, 2025)

Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation. - Polina Gordienko; Christoph Jansen; Thomas Augustin 001; Martin Rechenauer (CoRR, 2025)