Inhaltsbereich
Peer-reviewte Veröffentlichungen und Bücher
- Luisa
Ebner, Malte Nalenz, Annette ten Teije,
Frank van Harmelen, and Thomas Augustin.
Expert rulefit: Complementing rule ensembles with expert knowledge.
In 19th International Conference on Artificial Intelligence in Medicine,
KR4HC Workshop, 2021.
Currently unavailable under the original address. Instead available under:
https://github.com/maltenlz/Malte-Nalenz/blob/main/ERF.pdf.
- Cornelia Fuetterer and Thomas
Augustin.
Internal validation of unsupervised clustering following an association
accuracy heuristic.
In IEEE International Conference on Bioinformatics and Biomedicine
(BIBM): Workshop on Machine Learning and Artificial Intelligence in
Bioinformatics and Medical Informatics (MABM 2021), pages 2201–2210,
2021.
(doi:10.1109/BIBM52615.2021.9669782)
- Cornelia Fütterer, Malte
Nalenz, and Thomas Augustin.
Discriminative power Lasso – incorporating discriminative power of genes
into regularization-based variable selection.
2021.
Technical Report. Available under:
https://epub.ub.uni-muenchen.de/77862.
- Dominik Kreiss, Georg
Schollmeyer, and Thomas Augustin.
Towards improving electoral forecasting by including undecided voters and
interval-valued prior knowledge.
In Proceedings of the Twelfth International Symposium on Imprecise
Probabilities: Theories and Applications, Proceedings of Machine
Learning Research, Granada, Spain, 06–09 Jul 2021.
- Malte Nalenz and Thomas
Augustin.
Cultivated random forests: Robust decision tree learning through tree
structured ensembles.
2021.
Technical Report. Available under:
https://epub.ub.uni-muenchen.de/77861.
- Patrick Schwaferts and Thomas
Augustin.
Imprecise hypothesis-based bayesian decision making with composite hypotheses.
In Proceedings of the Twelfth International Symposium on Imprecise
Probabilities: Theories and Applications, Proceedings of Machine
Learning Research, Granada, Spain, 06–09 Jul 2021.
- Heidi Seibold, Severin
Czerny, Siona Decke, Roman Dieterle,
Thomas Eder, Steffen Fohr, Nico
Hahn, Rabea Hartmann, Christoph Heindl,
Philipp Kopper, Dario Lepke,
Verena Loidl, Maximilian Mandl,
Sarah Musiol, Jessica Peter,
Alexander Piehler, Elio Rojas,
Stefanie Schmid, Hannah Schmidt,
Melissa Schmoll, Lennart Schneider,
Xiao-Yin To, Viet Tran, Antje
Völker, Moritz Wagner, Joshua Wagner,
Maria Waize, Hannah Wecker, Rui
Yang, Simone Zellner, and Malte Nalenz.
A computational reproducibility study of PLOS ONE articles featuring
longitudinal data analyses.
PLOS ONE, 16(6), 2021.
- Cornelia Fuetterer, Thomas
Augustin, and Christiane Fuchs.
Adapted single-cell
consensus clustering (adasc3).
Advances in Data Analysis and Classification, 2020.
- Dominik Kreiss and Thomas
Augustin.
Undecided voters as set-valued information, towards forecasts under epistemic
imprecision.
In Jesse Davis and Karim Tabia, editors,
Scalable Uncertainty Management 2020, pages 242–250. Springer,
2020.
- Dominik Kreiss, Malte Nalenz,
and Thomas Augustin.
Undecided
voters as set-valued information, machine learning approaches under complex
uncertainty.
In Eyke Huellermeier and Sebastian Destercke,
editors, ECML/PKDD 2020 Tutorial and Workshop on Uncertainty in Machine
Learning. 2020.
- Luisa
Ebner, Patrick Schwaferts, and Thomas
Augustin.
Robust Bayes factor
for independent two-sample comparisons under imprecise prior information.
In Jasper De Bock, Cassio P. de Campos,
Gert de Cooman, Erik Quaeghebeur, and
Gregory Wheeler, editors, Proceedings of the Eleventh
International Symposium on Imprecise Probability: Theories and
Applications, volume 103 of Proceedings of Machine Learning
Research, pages 167–174. PMLR, 2019.
(PDF)
- Eva Endres, Paul Fink, and
Thomas Augustin.
Imprecise imputation: A
nonparametric micro approach reflecting the natural uncertainty of
statistical matching with categorical data.
Journal of Official Statistical, 35:599–624, 2019.
- Cornelia Fuetterer, Georg
Schollmeyer, and Thomas Augustin.
Constructing
simulation data with dependency structure for unreliable single-cell
rna-sequencing data using copulas.
In Jasper De Bock, Cassio P. de Campos,
Gert de Cooman, Erik Quaeghebeur, and
Gregory Wheeler, editors, Proceedings of the Eleventh
International Symposium on Imprecise Probabilities: Theories and
Applications, volume 103 of Proceedings of Machine Learning
Research, pages 216–224, Thagaste, Ghent, Belgium, 03–06 Jul 2019.
PMLR.
(PDF)
- Aziz Omar and Thomas
Augustin.
Estimation of
classification probabilities in small domains accounting for nonresponse
relying on imprecise probability.
International Journal of Approximate Reasoning, 115:134–143,
2019.
Substantially extended, invited special issue version of Omar & Augustin
(2018, SMPS).
- Julia Plass, Marco Cattaneo,
Thomas Augustin, Georg Schollmeyer, and
Christian Heumann.
Reliable inference in categorical
regression analysis for non-randomly coarsened observations.
International Statistical Review, 87:580–603, 2019.
- Georg Schollmeyer.
A short note on
the equivalence of the ontic and the epistemic view on data imprecision for
the case of stochastic dominance for interval-valued data.
In Jasper De Bock, Cassio P. de Campos,
Gert de Cooman, Erik Quaeghebeur, and
Gregory Wheeler, editors, Proceedings of the Eleventh
International Symposium on Imprecise Probabilities: Theories and
Applications, volume 103 of Proceedings of Machine Learning
Research, pages 330–337, Thagaste, Ghent, Belgium, 03–06 Jul 2019.
PMLR.
(PDF)
- Patrick Schwaferts and Thomas
Augustin.
Imprecise
hypothesis-based Bayesian decision making with simple hypotheses.
In Jasper De Bock, Cassio P. de Campos,
Gert de Cooman, Erik Quaeghebeur, and
Gregory Wheeler, editors, Proceedings of the Eleventh
International Symposium on Imprecise Probability: Theories and
Applications, volume 103 of Proceedings of Machine Learning
Research, pages 338–345. PMLR, 2019.
(PDF)
- Thomas Augustin.
Imprecise
sampling models for modelling unobserved heterogeneity? Basic ideas of a
credal likelihood concept.
In Davide Ciucci, Gabriella Pasi, and
Barbara Vantaggi, editors, Scalable Uncertainty
Management (Proceedings of the 12th International Conference, SUM 2018, Milan
(Italy), volume 11 of Lecture Notes in Artificial
Intelligence, pages 351–358. Springer, 2018.
- Thomas Augustin and Rudolf
Seising.
Kurt Weichselberger's
contribution to imprecise probabilities.
International Journal of Approximate Reasoning, 98:132–145, 2018.
Substantially extended, invited special issue version of Augustin & Seising
(2017, ISIPTA).
- Paul Fink.
Contributions to
reasoning on imprecise data: Imprecise classification trees, generalized
linear regression on microaggregated data and imprecise
imputation.
PhD thesis, Department of Statistics, LMU Munich, 2018.
- Christoph
Jansen.
Some contributions to
decision making in complex information settings with imprecise probabilities
and incomplete preferences: Theoretical and algorithmic results.
PhD thesis, Department of Statistics, LMU Munich, 2018.
- Christoph Jansen, Georg
Schollmeyer, and Thomas Augustin.
Concepts for decision
making under severe uncertainty with partial ordinal and partial cardinal
preferences.
International Journal of Approximate Reasoning, 98:112–131, 2018.
Substantially extended, invited special issue version of Jansen, Schollmeyer &
Augustin (2017, ISIPTA).
- Christoph Jansen, Georg
Schollmeyer, and Thomas Augustin.
A probabilistic
evaluation framework for preference aggregation reflecting group
homogeneity.
Mathematical Social Sciences, 96:49–62, 2018.
- Malte Nalenz and Mattias
Villani.
Tree ensembles with rule structured horseshoe regularization.
Annals of Applied Statistics, 12(4):2379–2408, 2018.
- Aziz Omar and Thomas
Augustin.
Estimation
of classification probabilities in small domains accounting for nonresponse
relying on imprecise probability.
In Sebastien Destercke, Thierry Denoeux,
Maria Angeles Gil, Przemyslaw Grzegorzewski,
and Olgierd Hryniewicz, editors, SMPS 2018: Uncertainty
Modelling in Data Science, volume 832 of Advances in Intelligent
Systems and Computing, pages 175–182. Springer, 2018.
- Julia Plass.
Statistical modelling of
categorical data under ontic and epistemic imprecision: contributions to
power set based analyses, cautious likelihood inference and (non-)testability
of coarsening mechanism.
PhD thesis, Department of Statistics, LMU Munich, 2018.
- Thomas Augustin and Rudolf
Seising.
Kurt
Weichselberger's contribution to imprecise probabilities.
In Alessandro Antonucci, Giorgio Corani,
Inés Couso, and Sébastien Destercke,
editors, Proceedings of the Tenth International Symposium on Imprecise
Probability: Theories and Applications, volume 62 of Proceedings
of Machine Learning Research, pages 13–24. PMLR, 2017.
- Thomas Augustin, Serena
Doria, and Mássimo Marinacci.
Imprecise probability:
Theories and applications [editorial to virtual special issue on the ninth
international symposium on imprecise probability: Theories and applications
(isipta 2015)].
International Journal of Approximate Reasoning, 84:39–40,
2017.
- Paul
Fink and Thomas Augustin.
(Generalized) linear
regression on microaggregated data – from nuisance parameter optimization to
partial identification.
In Alessandro Antonucci, Giorgio Corani,
Inés Couso, and Sébastien Destercke,
editors, Proceedings of the Tenth International Symposium on Imprecise
Probability: Theories and Applications, volume 62 of Proceedings
of Machine Learning Research, pages 157–168. PMLR, 2017.
- Christoph Jansen, Thomas
Augustin, and Georg Schollmeyer.
Decision theory meets
linear optimization beyond computation.
In Alessandro Antonucci, Laurence Cholvy, and
Odile Papini, editors, Symbolic and Quantitative
Approaches to Reasoning with Uncertainty: 14th European Conference, ECSQARU
2017, Lugano, Switzerland, July 10–14, 2017, Proceedings, pages
329–339, Cham, 2017. Springer International Publishing.
- Christoph Jansen, Georg
Schollmeyer, and Thomas Augustin.
Concepts for decision
making under severe uncertainty with partial ordinal and partial cardinal
preferences.
In Alessandro Antonucci, Giorgio Corani,
Inés Couso, and Sébastien Destercke,
editors, Proceedings of the Tenth International Symposium on Imprecise
Probability: Theories and Applications, volume 62 of Proceedings
of Machine Learning Research, pages 181–192. PMLR, 2017.
- Julia Plass, Marco Cattaneo,
Georg Schollmeyer, and Thomas Augustin.
On the testability of
coarsening assumptions: A hypothesis test for subgroup independence.
International Journal of Approximate Reasoning, 90:292–306,
2017.
- Julia Plass, Aziz Omar, and
Thomas Augustin.
Towards a cautious
modelling of missing data in small area estimation.
In Alessandro Antonucci, Giorgio Corani,
Inés Couso, and Sébastien Destercke,
editors, Proceedings of the Tenth International Symposium on Imprecise
Probability: Theories and Applications, volume 62 of Proceedings
of Machine Learning Research, pages 253–264. PMLR, 2017.
- Julia
Plass, Aziz Omar, and Thomas Augustin.
Towards a cautious
modelling of missing data in small area estimation.
In Alessandro Antonucci, Giorgio Corani,
Inés Couso, and Sébastien Destercke,
editors, Proceedings of the Tenth International Symposium on Imprecise
Probability: Theories and Applications, volume 62 of Proceedings
of Machine Learning Research, pages 253–264. PMLR, 2017.
- Georg Schollmeyer.
Reliable statistical
modeling of weakly structured information: contributions to partial
identification, stochastic partial ordering and imprecise
probabilities.
PhD thesis, Department of Statistics, LMU Munich, 2017.
- Hansjörg Baurecht, Melanie
Hotze, Elke Rodríguez, Judith Manz,
Stephan. Weidinger, Heather J. Cordell,
Thomas Augustin*, and Konstantin Strauch*.
(*equal contr.)
Compare and contrast meta analysis (CCMA): A method for identification of
pleiotropic loci in genome-wide association studies.
PLoS ONE, 11:1–10, 5 2016.
- Eva Endres and Thomas
Augustin.
Statistical
matching of discrete data by Bayesian networks.
In Alessandro Antonucci, Giorgio Corani, and
Cassio Polpo de Campos, editors, Journal of Machine
Learning Research Workshop and Conference Proceedings (Proceedings of the
Eighth International Conference on Probabilistic Graphical Models),
volume 52, pages 159–170, 2016.
- Julia Plass, Marco Cattaneo,
Georg Schollmeyer, and Thomas Augustin.
Testing of coarsening
mechanisms: Coarsening at random versus subgroup independence.
In Maria Brigida Ferraro, Paolo Giordani,
Barbara Vantaggi, Marek Gagolewski,
María Ángeles Gil, Przemysław
Grzegorzewski, and Olgierd Hryniewicz, editors, Soft
Methods for Data Science, pages 415–422. Springer, SMPS, 2016.
- Julia Plass, Thomas
Augustin, Marco Cattaneo, and Georg
Schollmeyer.
Statistical modelling
under epistemic data imprecision: Some results on estimating multinomial
distributions and logistic regression for coarse categorical data.
In Thomas Augustin, Serena Doria,
Enrique Miranda, and Erik Quaeghebeur, editors,
ISIPTA '15, Proceedings of the Ninth International Symposium on
Imprecise Probability: Theories and Applications, pages 247–256,
Rome, 2015. Aracne.
- Julia Plass, Paul Fink,
Norbert Schöning, and Thomas Augustin.
Statistical modelling
in surveys without neglecting the undecided: Multinomial logistic
regression models and imprecise classification trees under ontic data
imprecision.
In Thomas Augustin, Serena Doria,
Enrique Miranda, and Erik Quaeghebeur, editors,
ISIPTA '15, Proceedings of the Ninth International Symposium on
Imprecise Probability: Theories and Applications, pages 257–266,
Rome, 2015. Aracne.
- Georg Schollmeyer.
On the number and
characterization of the extreme points of the core of necessity measures on
finite spaces.
In Thomas Augustin, Serena Doria,
Enrique Miranda, and Erik Quaeghebeur, editors,
ISIPTA '15, Proceedings of the Ninth International Symposium on
Imprecise Probability: Theories and Applications, pages 277–286,
Rome, 2015. Aracne.
- Georg Schollmeyer and Thomas
Augustin.
Statistical modeling under
partial identification: Distinguishing three types of identification
regions in regression analysis with interval data.
International Journal of Approximate Reasoning, 56, Part
B:224–248, 2015.
- Thomas Augustin, Frank P. A.
Coolen, Gert de Cooman, and Matthias C. M.
Troffaes, editors.
Introduction
to Imprecise Probabilities.
Wiley, Chichester, 2014.
- Xavier Blanchet, Katja
Cesarek, Johanna Brandt, Heiko Herwald,
Daniel Teupser, Helmut Küchenhoff,
Ela Karshovska, Sebastian F. Mause,
Wolfgang Siess, Hermann Wasmuth,
Oliver Soehnlein, Rory R. Koenen,
Christian Weber, and Philipp von Hundelshausen.
Inflammatory role and prognostic
value of platelet chemokines in acute coronary syndrome.
Thrombosis and Haemostasis, 112(6):1277–1287, 2014.
- Marco
Cattaneo.
A continuous updating
rule for imprecise probabilities.
In Anne Laurent, Olivier Strauss,
Bernadette Bouchon-Meunier, and Ronald Yager,
editors, Information Processing and Management of Uncertainty in
Knowledge-Based Systems, Part 3, volume 444 of Communications
in Computer and Information Science, pages 426–435. Springer,
2014.
- Marco
Cattaneo.
Maxitive integral of
real-valued functions.
In Anne Laurent, Olivier Strauss,
Bernadette Bouchon-Meunier, and Ronald Yager,
editors, Information Processing and Management of Uncertainty in
Knowledge-Based Systems, Part 1, volume 442 of Communications
in Computer and Information Science, pages 226–235. Springer,
2014.
- Marco Cattaneo and Andrea
Wiencierz.
On the implementation of
LIR: the case of simple linear regression with interval data.
Computational Statistics, 29(3–4):743–767, 2014.
- Christoph Bernau, Thomas
Augustin, and Anne-Laure Boulesteix.
Correcting the optimal
resampling-based error rate by estimating the error rate of wrapper
algorithms.
Biometrics, 69(3):693–702, 2013.
- Marco
Cattaneo.
Likelihood decision functions.
Electronic Journal of Statistics, 7:2924–2946, 2013.
- Marco
Cattaneo.
On
the robustness of imprecise probability methods.
In Fabio Cozman, Therry Denœux,
Sébastien Destercke, and Teddy Seidfenfeld,
editors, ISIPTA '13, Proceedings of the Eighth International Symposium
on Imprecise Probability: Theories and Applications, pages 33–41,
Manno, 2013. SIPTA.
- Paul
Fink and Richard Crossman.
Entropy
based classification trees.
In Fabio Cozman, Therry Denœux,
Sébastien Destercke, and Teddy Seidfenfeld,
editors, ISIPTA '13, Proceedings of the Eighth International Symposium
on Imprecise Probability: Theories and Applications, pages 139–147,
Manno, 2013. SIPTA.
- Julia Kopf.
Model-based recursive
partitioning meets item response theory: New statistical methods for the
detection of differential item functioning and appropriate anchor
selection.
PhD thesis, Department of Statistics, LMU Munich, 2013.
- Atiye Sarabi-Jamab,
Babak Nadjar Araabi, and Thomas Augustin.
Information-based dissimilarity assessment in Dempster-Shafer theory.
Knowledge-Based Systems, 54:114–127, 2013.
- Georg Schollmeyer and Thomas
Augustin.
On
sharp identification regions for regression under interval data.
In Fabio Cozman, Therry Denœux,
Sébastien Destercke, and Teddy Seidfenfeld,
editors, ISIPTA '13, Proceedings of the Eighth International Symposium
on Imprecise Probability: Theories and Applications, pages 285–294,
Manno, 2013. SIPTA.
- Lev Utkin and Andrea
Wiencierz.
An
imprecise boosting-like approach to regression.
In Fabio Cozman, Therry Denœux,
Sébastien Destercke, and Teddy Seidfenfeld,
editors, ISIPTA '13, Proceedings of the Eighth International Symposium
on Imprecise Probability: Theories and Applications, pages 345–354,
Manno, 2013. SIPTA.
- Andrea
Wiencierz.
Regression analysis with
imprecise data.
PhD thesis, Department of Statistics, LMU Munich, 2013.
- Christoph Wunder, Andrea
Wiencierz, Johannes Schwarze, and Helmut
Küchenhoff.
Well-being over the life span:
Semiparametric evidence from British and German longitudinal data.
Review of Economics and Statistics, 95:154–167, 2013.
- Alessandro Antonucci, Marco
Cattaneo, and Giorgio Corani.
Likelihood-based robust
classification with Bayesian networks.
In Salvatore Greco, Bernadette Bouchon-Meunier,
Giulianella Coletti, Mario Fedrizzi,
Benedetto Matarazzo, and Ronald Yager, editors,
Advances in Computational Intelligence, Part 3, volume 299 of
Communications in Computer and Information Science, pages
491–500. Springer, 2012.
- Marco Cattaneo and Andrea
Wiencierz.
Likelihood-based imprecise
regression.
International Journal of Approximate Reasoning, 53(8):1137–1154,
2012.
- Helmut Küchenhoff, Thomas
Augustin, and Anne Kunz.
Partially identified prevalence estimation under misclassification using the
Kappa coefficient.
International Journal of Approximate Reasoning, 53(8):1168–1182,
2012.
- Andrea Wiencierz and Marco
Cattaneo.
An exact algorithm for
likelihood-based imprecise regression in the case of simple linear regression
with interval data.
In Rudolf Kruse, Michael Berthold,
Christian Moewes, Marıa Ángeles Gil,
Przemysław Grzegorzewski, and Olgierd
Hryniewicz, editors, Synergies of Soft Computing and Statistics for
Intelligent Data Analysis, volume 190 of Advances in
Intelligent Systems and Computing, pages 293–301. Springer,
2012.
- Alessandro Antonucci, Marco
Cattaneo, and Giorgio Corani.
Likelihood-based
naive credal classifier.
In Frank Coolen, Gert de Cooman,
Thomas Fetz, and Michael Oberguggenberger,
editors, ISIPTA '11, Proceedings of the Seventh International
Symposium on Imprecise Probability: Theories and Applications, pages
21–30, Manno, 2011. SIPTA.
- Thomas Augustin and Marco
Cattaneo.
Foundations of
probability.
In Miodrag Lovric, editor, International Encyclopedia of
Statistical Science, pages 542–544. Springer, 2011.
- Rebecca
Baker, Pauline Coolen-Schrijner, Frank Coolen,
and Thomas Augustin.
Nonparametric
predictive inference for subcategory data.
In Frank Coolen, Gert de Cooman,
Thomas Fetz, and Michael Oberguggenberger,
editors, ISIPTA '11, Proceedings of the Seventh International
Symposium on Imprecise Probability: Theories and Applications, pages
41–50, Manno, 2011. SIPTA.
- Marco
Cattaneo.
Belief functions
combination without the assumption of independence of the information
sources.
International Journal of Approximate Reasoning, 52(3):299–315,
2011.
- Marco Cattaneo and Andrea
Wiencierz.
Regression
with imprecise data: A robust approach.
In Frank Coolen, Gert de Cooman,
Thomas Fetz, and Michael Oberguggenberger,
editors, ISIPTA '11, Proceedings of the Seventh International
Symposium on Imprecise Probability: Theories and Applications, pages
119–128, Manno, 2011. SIPTA.
- Frank Coolen, Matthias
Troffaes, and Thomas Augustin.
Imprecise
probabilities.
In Miodrag Lovric, editor, International Encyclopedia of
Statistical Science, pages 645–648. Springer, 2011.
- Richard Crossman, Joaquín
Abellán, Thomas Augustin, and Frank
Coolen.
Building
imprecise classification trees with entropy ranges.
In Frank Coolen, Gert de Cooman,
Thomas Fetz, and Michael Oberguggenberger,
editors, ISIPTA '11, Proceedings of the Seventh International
Symposium on Imprecise Probability: Theories and Applications, pages
129–138, Manno, 2011. SIPTA.
- Daniel Fischer, Wolfgang
Bonß, Thomas Augustin, Felix Bader,
Michaela Pichlbauer, and Dominikus Vogl,
editors.
Uneindeutigkeit als Herausforderung.
Universität der Bundeswehr München, Neubiberg, 1 edition, 2011.
- Helmut Küchenhoff, Thomas
Augustin, and Anne Kunz.
Partially
identified prevalence estimation under misclassification using the Kappa
coefficient.
In Frank Coolen, Gert de Cooman,
Thomas Fetz, and Michael Oberguggenberger,
editors, ISIPTA '11, Proceedings of the Seventh International
Symposium on Imprecise Probability: Theories and Applications, pages
237–246, Manno, 2011. SIPTA.
- Matthias Schmid, Thomas
Hielscher, Thomas Augustin, and Olaf Gefeller.
A robust alternative
to the Schemper-Henderson measure of prediction error.
Biometrics, 67(2):524–535, 2011.
- Gero
Walter, Thomas Augustin, and Frank Coolen.
On
prior-data conflict in predictive Bernoulli inferences.
In Frank Coolen, Gert de Cooman,
Thomas Fetz, and Michael Oberguggenberger,
editors, ISIPTA '11, Proceedings of the Seventh International
Symposium on Imprecise Probability: Theories and Applications, pages
391–400, Manno, 2011. SIPTA.
- Andrea Wiencierz, Sonja
Greven, and Helmut Küchenhoff.
Restricted likelihood ratio testing
in linear mixed models with general error covariance structure.
Electronic Journal of Statistics, 5:1718–1734, 2011.
- Thomas Augustin and Robert
Hable.
On the impact of
robust statistics on imprecise probability models: a review.
Structural Safety, 32(6):358–365, 2010.
- Thomas Augustin, Frank
Coolen, Matthias Troffaes, and Serafín
Moral, editors.
Special issue
on imprecise probability in statistical inference and decision making.
International Journal of Approximate Reasoning, 51 (9),
1011–1172, 2010.
- Marco
Cattaneo.
Likelihood-based
inference for probabilistic graphical models: Some preliminary results.
In Petri Myllymäki, Teemu Roos, and
Tommi Jaakkola, editors, PGM 2010, Proceedings of The
Fifth European Workshop on Probabilistic Graphical Models, pages
57–64. HIIT Publications, 2010.
- Marco
Cattaneo.
Probabilistic-possibilistic belief networks.
In Angel Marchev, Angel Angelov,
Margarita Harizanova, Milcho Mirchev,
Matilda Alexandrova, Maya Lambovska, and
Vasil Alexandria, editors, Vanguard Scientific
Instruments in Management 2009 (VSIM:09), volume 2, pages 59–72.
VSIM, 2010.
- David Rummel, Thomas
Augustin, and Helmut Küchenhoff.
Correction for
covariate measurement error in nonparametric longitudinal regression.
Biometrics, 66(4):1209–1219, 2010.
- Carolin Strobl, Julia Kopf,
and Achim Zeileis.
Wissen Frauen weniger oder nur das Falsche? Ein statistisches Modell
für unterschiedliche Aufgaben-Schwierigkeiten in Teilstichproben.
In Sabine Trepte and Markus Verbeet, editors,
Wissenswelten des 21. Jahrhunderts - Erkenntnisse aus dem
Studentenpisa-Test des SPIEGEL, pages 255–272. VS Verlag, Wiesbaden,
2010.
- Thomas Augustin, Frank
Coolen, Pauline Coolen-Schrijner, and Matthias
Troffaes, editors.
Special issue on statistical theory and practice with Journal of
Statistical Theory and Practice 3, 1–303, 2009.
see also Coolen-Schrijner, Coolen, Troffaes, Augustin, Gupta, editors
(2009).
- Thomas Augustin, Frank
Coolen, Matthias Troffaes, and Serafín
Moral, editors.
Proceedings of
ISIPTA '09. Fifth International Symposium on Imprecise Probabilities and
Their Applications, Manno, 2009. SIPTA.
- Thomas Augustin, Enrique
Miranda, and Jirina Vejnarova, editors.
Special issue
on imprecise probability models and their applications. International
Journal of Approximate Reasoning, 50 (4), 581–694,
2009.
- Andrey Bronevich and Thomas
Augustin.
Approximation
of coherent lower probabilities by 2-monotone measures.
In Thomas Augustin, Frank Coolen,
Serafín Moral, and Matthias Troffaes,
editors, ISIPTA '09: Proceedings of the Fifth International Symposium
on Imprecise Probabilities and their Applications, pages 61–69,
Manno, 2009. SIPTA.
- Marco
Cattaneo.
A generalization
of credal networks.
In Thomas Augustin, Frank Coolen,
Serafín Moral, and Matthias Troffaes,
editors, ISIPTA '09, Proceedings of the Sixth International Symposium
on Imprecise Probability: Theories and Applications, pages 79–88,
Manno, 2009. SIPTA.
- Frank Coolen and Thomas
Augustin.
A nonparametric predictive
alternative to the imprecise Dirichlet model: the case of a known number of
categories.
International Journal of Approximate Reasoning, 50:217–230,
2009.
- Pauline Coolen-Schrijner,
Frank Coolen, Troffaes Matthias, and
Thomas Augustin.
Imprecision in statistical theory and practice.
Journal of Statistical Theory and Practice, 3:1–9, 2009.
- Pauline Coolen-Schrijner,
Frank Coolen, Matthias Troffaes,
Thomas Augustin, and Sat Gupta, editors.
Imprecision in Statistical Theory and Practice.
Grace Scientific Publishing LLC, Greensboro, 2009.
reprinted version of Augustin, Coolen, Coolen-Schrijner, Troffaes (editos),
2009.
- Jochen Einbeck and Thomas
Augustin.
On design-weighted local fitting and its relation to the Horvitz-Thompson
estimator.
Statistica Sinica, 19(1):103–123, 2009.
- Andreas Mihalyi, Barbara
Deml, and Thomas Augustin.
A contribution to
integrated driver modeling: a coherent framework for modeling both
non-routine and routine elements of the driving task.
In Vincent Duffy, editor, 2nd International Conference on
Digital Human Modeling held at the HCI International (13th International
Conference on Human-Computer Interaction), pages 433–442. Springer,
2009.
- Anneke Neuhaus, Thomas
Augustin, Christian Heumann, and Martin
Daumer.
A review on joint models in biometrical research.
Journal of Statistical Theory and Practice, 3:855–868, 2009.
- Carolin Strobl and Thomas
Augustin.
Adaptive selection of extra cutpoints — an approach towards reconciling
robustness and interpretability in classification trees.
Journal of Statistical Theory and Practice, 3:119–135, 2009.
- Gero Walter and Thomas
Augustin.
Imprecision and prior-data conflict in generalized Bayesian inference.
Journal of Statistical Theory and Practice, 3:255–271, 2009.
- Anne-Laure Boulesteix, Carolin
Strobl, Thomas Augustin, and Martin Daumer.
Evaluating microarray–based classifiers: an overview.
Cancer Informatics, 6:77–97, 2008.
- Marco
Cattaneo.
Fuzzy probabilities
based on the likelihood function.
In Didier Dubois, Maria Lubiano,
Henri Prade, María Gil,
Przemysław Grzegorzewski, and Olgierd
Hryniewicz, editors, Soft Methods for Handling Variability and
Imprecision, volume 48 of Advances in Intelligent and Soft
Computing, pages 43–50. Springer, 2008.
- Hermann Held, Thomas
Augustin, and Elmar Kriegler.
Bayesian learning for a
class of priors with prescribed marginals.
International Journal of Approximate Reasoning, 49(1):212–233,
2008.
- Carolin Strobl, Anne-Laure
Boulesteix, Thomas Kneib, Thomas Augustin, and
Achim Zeileis.
Conditional variable
importance for random forests.
BMC Bioinformatics, 9:307–317, 2008.
- Frank Coolen and Thomas
Augustin.
Multinomial
nonparametric predictive inference with sub-categories.
In Gert de Cooman, Jirina Vejnarova, and
Marco Zaffalon, editors, ISIPTA '07: Proceedings of the
Fifth International Symposium on Imprecise Probabilities and their
Applications, pages 77–86, Manno, 2007. SIPTA.
- Jochen Einbeck, Thomas
Augustin, and Julio Singer.
Smoothing, sampling, and Basu's elephants.
In Joan del Castillo, Anna Espinal, and
Pere Puig, editors, Proceedings of the 22th
International Workshop on Statistical Modelling, pages 245–248,
Barcelona, 2007.
- Michael Obermeier and Thomas
Augustin.
Luceno's
discretization method and its application in decision making under
ambiguity.
In Gert de Cooman, Jirina Vejnarova, and
Marco Zaffalon, editors, ISIPTA '07: Proceedings of the
Fifth International Symposium on Imprecise Probabilities and their
Applications, pages 327–336, Manno, 2007. SIPTA.
- Carolin Strobl, Anne-Laure
Boulesteix, and Thomas Augustin.
Unbiased split selection
for classification trees based on the Gini-index.
Computational Statistics and Data Analysis, 52(1):483–501,
2007.
- Lev Utkin and Thomas
Augustin.
Decision making under
imperfect measurement using the imprecise Dirichlet model.
International Journal of Approximate Reasoning, 44(3):322–338,
2007.
- Gero
Walter, Thomas Augustin, and Annette Peters.
Linear regression
analysis under sets of conjugate priors.
In Gert de Cooman, Jirina Vejnarova, and
Marco Zaffalon, editors, ISIPTA '07: Proceedings of the
Fifth International Symposium on Imprecise Probabilities and their
Applications, pages 445–455, Manno, 2007. SIPTA.
- Hans Schneeweiß and Thomas
Augustin.
Some recent advances in
measurement error models and methods.
Allgemeines Statistisches Archiv, 90(1):183–197, 2006.
Reprinted in: O. Hübner and J. Frohn (2006, eds.): Modern Econometric
Analysis — Surveys on Recent Developments. Springer. Heidelberg.
- Thomas
Augustin.
Generalized basic
probability assignments.
International Journal of General Systems, 34(4):451–463,
2005.
- Ralf Bender, Thomas Augustin,
and Maria Blettner.
Generating survival times to
simulate Cox proportional hazards models.
Statistics in Medicine, 24(11):1713–1723, 2005.
- Frank Coolen and Thomas
Augustin.
Learning from
multinomial data: a nonparametric predictive alternative to the imprecise
Dirichlet model.
In Fabio Cozman, Robert Nau, and
Teddy Seidenfeld, editors, ISIPTA '05, Proceedings of
the Fourth International Symposium on Imprecise Probabilities and Their
Applications, pages 125–135, Pittsburgh, Manno, 2005. Carnegie
Mellon University, SIPTA.
- Lev Utkin and Thomas
Augustin.
Decision making
under imperfect measurement using the imprecise Dirichlet model.
In Fabio Cozman, Robert Nau, and
Teddy Seidenfeld, editors, ISIPTA '05, Proceedings of
the Fourth International Symposium on Imprecise Probabilities and Their
Applications, pages 359–368, Pittsburgh, Manno, 2005. Carnegie
Mellon University, SIPTA.
- Lev Utkin and Thomas
Augustin.
Powerful
algorithms for decision making under partial prior information and general
ambiguity attitudes.
In Fabio Cozman, Robert Nau, and
Teddy Seidenfeld, editors, ISIPTA '05, Proceedings of
the Fourth International Symposium on Imprecise Probabilities and Their
Applications, pages 349–358, Pittsburgh, Manno, 2005. Carnegie
Mellon University, SIPTA.
- Thomas
Augustin.
An exact corrected
log-likelihood function for Cox's proportional hazards model under
measurement error and some extensions.
Scandinavian Journal of Statistics, 31(1):43–50, 2004.
- Thomas
Augustin.
Optimal decisions under
complex uncertainty — basic notions and a general algorithm for data-based
decision making with partial prior knowledge described by interval
probability.
ZAMM Zeitschrift für Angewandte Mathematik und Mechanik,
84(10-11):678–687, 2004.
- Thomas Augustin and Frank
Coolen.
Nonparametric predictive
inference and interval probability.
Journal of Statistical Planning and Inference, 124(2):251–272,
2004.
- Thomas Augustin and Joachim
Wolff.
A bias analysis of Weibull
models under heaped data.
Statistical Papers, 45(2):211–229, 2004.
- Anneke Neuhaus, Martin
Daumer, Ludwig Kappos, Thomas Augustin, and
Helmut Küchenhoff.
Modelling time to progression in multiple sclerosis regarding the error in the
response variable.
Multiple Sclerosis, 10(7032, Suppl. 2):99, 2004.
- 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.
In Jean-Marc Bernard, Teddy Seidenfeld, and
Marco Zaffalon, editors, ISIPTA '03: Proceedings of the
Third International Symposium on Imprecise Probabilities and their
Applications, pages 31–45, Lugano, Waterloo, 2003. Carleton
Scientific.
- Lev Utkin and Thomas
Augustin.
Decision making with
imprecise second order probabilities.
In Jean-Marc Bernard, Teddy Seidenfeld, and
Marco Zaffalon, editors, ISIPTA '03: Proceedings of the
Third International Symposium on Imprecise Probabilities and their
Applications, pages 547–561, Lugano, Waterloo, 2003. Carleton
Scientific.
- Kurt Weichselberger and Thomas
Augustin.
On the symbiosis of two
concepts of conditional interval probability.
In Jean-Marc Bernard, Teddy Seidenfeld, and
Marco Zaffalon, editors, ISIPTA '03: Proceedings of the
Third International Symposium on Imprecise Probabilities and their
Applications, pages 547–561. Carleton Scientific, Lugano, Waterloo,
2003.
- Joachim Wolff and Thomas
Augustin.
Heaping and its consequences for duration analysis: a simulation study.
Allgemeines Statistisches Archiv, 87(1):59–86, 2003.
- Thomas
Augustin.
Expected utility within a
generalized concept of probability: a comprehensive framework for decision
making under ambiguity.
Statistical Papers, 43(1):5–22, 2002.
- Thomas
Augustin.
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,
2002.
- Thomas
Augustin.
Some basic results on the extension of quasi-likelihood based measurement error
correction to multivariate and flexible structural models.
In Wolfgang Gaul and Gunter Ritter, editors,
Classification, Automation, and New Media (Passau, 2000),
pages 29–36. Springer, Berlin, 2002.
- Thomas Augustin and Regina
Schwarz.
Cox's proportional hazards model under covariate measurement error. A
review and comparison of methods.
In Sabine Van Huffel and Philippe Lemmerling,
editors, Total Least Squares and Errors-in-Variables Modeling (Leuven,
2001), pages 175–184. Kluwer Acad. Publ., Dordrecht, 2002.
- Thomas
Augustin.
On decision making
under ambiguous prior and sampling information.
In Gert de Cooman, Terrence Fine,
Serafín Moral, and Teddy Seidenfeld,
editors, ISIPTA '01: Proceedings of the Second International Symposium
on Imprecise Probabilities and their Applications, pages 9–16,
Ithaca (N.Y.), Shaker, Maastricht, 2001. Cornell University.
- Thomas Augustin.
Globally
least favorable pairs and Neyman-Pearson testing under interval
probability.
In Gert de Cooman, Fabio Gagliardi Cozman,
Serafín Moral, and Peter Walley, editors,
ISIPTA '99: Proceedings of the First International Symposium on
Imprecise Probabilities and their Applications, pages 15–24, Gent,
1999.
- Thomas Augustin.
On data-based checking of hypotheses in the presence of uncertain knowledge.
In Wolfang Gaul and Hermann Locarek-Junge,
editors, Classification in the Information Age, pages
127–135. Springer, 1999.
- Thomas
Augustin.
Optimale Tests bei Intervallwahrscheinlichkeit.
Vandenhoeck and Ruprecht, Göttingen, 1998.
With a preface by Kurt Weichselberger, Pages: 290 + XIV.
- Kurt Weichselberger and
Thomas Augustin.
Analysing Ellsberg's paradox by means of interval-probability.
In Robert Galata and Helmut Küchenhoff,
editors, Econometrics in Theory and Practice, pages 291–304.
Physica, Heidelberg, 1998.
- Kurt Weichselberger and
Thomas Augustin.
Zur Konstruktion von Bereichsschätzungen für nicht-monotone
Funktionen von Parametern.
Jahrbücher für Nationalökonomie und Statistik,
217(1):123–137, 1998.
- Thomas
Augustin.
Modeling weak information with generalized probability assignments.
In Hans-Hermann Bock and Wolfgang Polasek,
editors, Data Analysis and Information Systems. Statistical and
Conceptual Approaches, pages 101–113. Springer, Heidelberg,
1996.
