default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDThomas Augustin 0001
Person information
- affiliation: Ludwig Maximilian University of Munich, Department of Statistics, Germany
Other persons with the same name
- Thomas Augustin — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j26]Jan Pablo Burgard, Markus Zwick, Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger:
Vorwort der Herausgeber. AStA Wirtschafts und Sozialstatistisches Arch. 18(2): 127-130 (2024)- [j25]Julian Rodemann, Thomas Augustin:
Imprecise Bayesian optimization. Knowl. Based Syst. 300: 112186 (2024) - [j24]Malte Nalenz
, Julian Rodemann, Thomas Augustin:
Learning de-biased regression trees and forests from complex samples. Mach. Learn. 113(6): 3379-3398 (2024) - [i10]Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio:
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration. CoRR abs/2403.04629 (2024) - [i9]Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin:
Statistical Multicriteria Benchmarking via the GSD-Front. CoRR abs/2406.03924 (2024) - 2023
- [j23]Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger:
Editorial issue 3 + 4, 2023. AStA Wirtschafts und Sozialstatistisches Arch. 17(3): 191-194 (2023) - [j22]Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin:
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. 24: 231:1-231:37 (2023) - [c33]Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
In all likelihoods: robust selection of pseudo-labeled data. ISIPTA 2023: 412-425 - [c32]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Multi-target Decision Making Under Conditions of Severe Uncertainty. MDAI 2023: 45-57 - [c31]Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin:
Robust statistical comparison of random variables with locally varying scale of measurement. UAI 2023: 941-952 - [c30]Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin:
Approximately Bayes-optimal pseudo-label selection. UAI 2023: 1762-1773 - [i8]Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin:
Approximate Bayes Optimal Pseudo-Label Selection. CoRR abs/2302.08883 (2023) - [i7]Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning. CoRR abs/2303.01117 (2023) - [i6]Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin:
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement. CoRR abs/2306.12803 (2023) - [i5]Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix:
Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR abs/2310.15108 (2023) - 2022
- [j21]Thomas Augustin, Helmut Küchenhoff, Matthias Schmid:
Nachruf Hans Schneeweiß. AStA Wirtschafts und Sozialstatistisches Arch. 16(2): 149-154 (2022) - [j20]Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer:
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. Int. J. Approx. Reason. 144: 69-91 (2022) - [c29]Malte Nalenz, Thomas Augustin:
Compressed Rule Ensemble Learning. AISTATS 2022: 9998-10014 - [c28]Aziz Omar, Timo von Oertzen, Thomas Augustin:
Learning from Categorical Data Subject to Non-random Misclassification and Non-response Under Prior Quasi-Near-Ignorance Using an Imprecise Dirichlet Model. IPMU (2) 2022: 532-544 - [c27]Christoph Jansen, Thomas Augustin:
Decision Making with State-Dependent Preference Systems. IPMU (1) 2022: 729-742 - [c26]Julian Rodemann, Thomas Augustin:
Accounting for Gaussian Process Imprecision in Bayesian Optimization. IUKM 2022: 92-104 - [c25]Julian Rodemann, Dominik Kreiss, Eyke Hüllermeier, Thomas Augustin:
Levelwise Data Disambiguation by Cautious Superset Classification. SUM 2022: 263-276 - [i4]Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin:
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR abs/2209.01857 (2022) - [i3]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Multi-Target Decision Making under Conditions of Severe Uncertainty. CoRR abs/2212.06832 (2022) - 2021
- [c24]Cornelia Fuetterer, Thomas Augustin:
Internal Validation of Unsupervised Clustering following an Association Accuracy Heuristic. BIBM 2021: 2201-2210 - [c23]Dominik Kreiss, Georg Schollmeyer, Thomas Augustin:
Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge. ISIPTA 2021: 201-209 - [c22]Patrick Michael Schwaferts, Thomas Augustin:
Imprecise Hypothesis-Based Bayesian Decision Making with Composite Hypotheses. ISIPTA 2021: 280-288 - [i2]Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer:
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. CoRR abs/2110.12879 (2021) - [i1]Julian Rodemann, Thomas Augustin:
Accounting for Gaussian Process Imprecision in Bayesian Optimization. CoRR abs/2111.08299 (2021) - 2020
- [j19]Cornelia Fuetterer, Thomas Augustin, Christiane Fuchs:
Adapted single-cell consensus clustering (adaSC3). Adv. Data Anal. Classif. 14(4): 885-896 (2020) - [c21]Dominik Kreiss, Thomas Augustin:
Undecided Voters as Set-Valued Information - Towards Forecasts Under Epistemic Imprecision. SUM 2020: 242-250
2010 – 2019
- 2019
- [j18]Aziz Omar, Thomas Augustin:
Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability. Int. J. Approx. Reason. 115: 134-143 (2019) - [c20]Luisa Ebner, Patrick Michael Schwaferts, Thomas Augustin:
Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information. ISIPTA 2019: 167-174 - [c19]Cornelia Fuetterer, Georg Schollmeyer, Thomas Augustin:
Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas. ISIPTA 2019: 216-224 - [c18]Patrick Michael Schwaferts, Thomas Augustin:
Imprecise Hypothesis-Based Bayesian Decision Making with Simple Hypotheses. ISIPTA 2019: 338-345 - 2018
- [j17]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences. Int. J. Approx. Reason. 98: 112-131 (2018) - [j16]Thomas Augustin, Rudolf Seising:
Kurt Weichselberger's contribution to imprecise probabilities and statistical inference. Int. J. Approx. Reason. 98: 132-145 (2018) - [j15]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. Math. Soc. Sci. 96: 49-62 (2018) - [c17]Aziz Omar, Thomas Augustin:
Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability. SMPS 2018: 175-182 - [c16]Thomas Augustin:
Imprecise Sampling Models for Modelling Unobserved Heterogeneity? Basic Ideas of a Credal Likelihood Concept. SUM 2018: 351-358 - 2017
- [j14]Thomas Augustin, Serena Doria, Massimo Marinacci:
Special Issue: Ninth International Symposium on Imprecise Probability: Theory and Applications (ISIPTA'15). Int. J. Approx. Reason. 83: 280 (2017) - [j13]Thomas Augustin, Serena Doria, Massimo Marinacci:
Imprecise probability: Theories and applications. Int. J. Approx. Reason. 84: 39-40 (2017) - [j12]Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin:
On the testability of coarsening assumptions: A hypothesis test for subgroup independence. Int. J. Approx. Reason. 90: 292-306 (2017) - [c15]Christoph Jansen, Thomas Augustin, Georg Schollmeyer:
Decision Theory Meets Linear Optimization Beyond Computation. ECSQARU 2017: 329-339 - [c14]Thomas Augustin, Rudolf Seising:
Kurt Weichselberger's Contribution to Imprecise Probabilities. ISIPTA 2017: 13-24 - [c13]Paul Fink, Thomas Augustin:
(Generalized) Linear Regression on Microaggregated Data - From Nuisance Parameter Optimization to Partial Identification. ISIPTA 2017: 157-168 - [c12]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. ISIPTA 2017: 181-192 - [c11]Julia Plass, Aziz Omar, Thomas Augustin:
Towards a Cautious Modelling of Missing Data in Small Area Estimation. ISIPTA 2017: 253-264 - 2016
- [c10]Eva Endres, Thomas Augustin:
Statistical Matching of Discrete Data by Bayesian Networks. Probabilistic Graphical Models 2016: 159-170 - [c9]Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin:
Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence. SMPS 2016: 415-422 - 2015
- [j11]Georg Schollmeyer, Thomas Augustin:
Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data. Int. J. Approx. Reason. 56: 224-248 (2015) - 2013
- [j10]Atiye Sarabi-Jamab, Babak Nadjar Araabi, Thomas Augustin:
Information-based dissimilarity assessment in Dempster-Shafer theory. Knowl. Based Syst. 54: 114-127 (2013) - 2012
- [j9]Helmut Küchenhoff, Thomas Augustin, Anne Kunz:
Partially identified prevalence estimation under misclassification using the kappa coefficient. Int. J. Approx. Reason. 53(8): 1168-1182 (2012) - 2011
- [r2]Thomas Augustin, Marco E. G. V. Cattaneo:
Foundations of Probability. International Encyclopedia of Statistical Science 2011: 542-544 - [r1]Frank P. A. Coolen, Matthias C. M. Troffaes, Thomas Augustin:
Imprecise Probability. International Encyclopedia of Statistical Science 2011: 645-648 - 2010
- [j8]Thomas Augustin, Frank P. A. Coolen, Serafín Moral, Matthias C. M. Troffaes:
Imprecise probability in statistical inference and decision making. Int. J. Approx. Reason. 51(9): 1011-1013 (2010)
2000 – 2009
- 2009
- [j7]Frank P. A. Coolen, Thomas Augustin:
A nonparametric predictive alternative to the Imprecise Dirichlet Model: The case of a known number of categories. Int. J. Approx. Reason. 50(2): 217-230 (2009) - [j6]Thomas Augustin, Enrique Miranda, Jirina Vejnarová:
Imprecise probability models and their applications. Int. J. Approx. Reason. 50(4): 581-582 (2009) - [c8]Andreas Mihalyi, Barbara Deml, Thomas Augustin:
A Contribution to Integrated Driver Modeling: A Coherent Framework for Modeling Both Non-routine and Routine Elements of the Driving Task. HCI (11) 2009: 433-442 - 2008
- [j5]Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis:
Conditional variable importance for random forests. BMC Bioinform. 9 (2008) - [j4]Hermann Held, Thomas Augustin, Elmar Kriegler:
Bayesian learning for a class of priors with prescribed marginals. Int. J. Approx. Reason. 49(1): 212-233 (2008) - 2007
- [j3]Carolin Strobl, Anne-Laure Boulesteix, Thomas Augustin:
Unbiased split selection for classification trees based on the Gini Index. Comput. Stat. Data Anal. 52(1): 483-501 (2007) - [j2]Lev V. Utkin, Thomas Augustin:
Decision making under incomplete data using the imprecise Dirichlet model. Int. J. Approx. Reason. 44(3): 322-338 (2007) - 2005
- [j1]Thomas Augustin:
Generalized basic probability assignments. Int. J. Gen. Syst. 34(4): 451-463 (2005) - [c7]Frank P. A. Coolen, Thomas Augustin:
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model. ISIPTA 2005: 125-134 - [c6]Lev V. Utkin, Thomas Augustin:
Powerful algorithms for decision making under partial prior information and general ambiguity attitudes. ISIPTA 2005: 349-358 - [c5]Lev V. Utkin, Thomas Augustin:
Decision making under incomplete data using the imprecise Dirichlet model. ISIPTA 2005: 359-368 - 2003
- [c4]Thomas Augustin:
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. ISIPTA 2003: 31-45 - [c3]Kurt Weichselberger, Thomas Augustin:
On the Symbiosis of Two Concepts of Conditional Interval Probability. ISIPTA 2003: 606- - 2001
- [c2]Thomas Augustin:
On Decision Making under Ambiguous Prior and Sampling Information. ISIPTA 2001: 9-16
1990 – 1999
- 1999
- [c1]Thomas Augustin:
Globally Least Favorable Pairs and Neyman-Pearson Testing under Interval Probability. ISIPTA 1999: 15-23
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 21:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
