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Thomas Augustin
Thomas Augustin
Professor, Department of Statistics, University of Munich (LMU)
Verified email at stat.uni-muenchen.de - Homepage
Title
Cited by
Cited by
Year
Conditional variable importance for random forests
C Strobl, AL Boulesteix, T Kneib, T Augustin, A Zeileis
BMC bioinformatics 9, 1-11, 2008
33622008
Generating survival times to simulate Cox proportional hazards models by Ralf Bender, Thomas Augustin and Maria Blettner, Statistics in Medicine 2005; 24: 1713–1723
R Bender, T Augustin, M Blettner
Statistics in medicine 25 (11), 1978-1979, 2006
1102*2006
Introduction to imprecise probabilities
T Augustin, FPA Coolen, G De Cooman, MCM Troffaes
John Wiley & Sons, 2014
5072014
Unbiased split selection for classification trees based on the Gini index
C Strobl, AL Boulesteix, T Augustin
Computational Statistics & Data Analysis 52 (1), 483-501, 2007
3712007
Nonparametric predictive inference and interval probability
T Augustin, FPA Coolen
Journal of Statistical Planning and Inference 124 (2), 251-272, 2004
2042004
Evaluating microarray-based classifiers: an overview
AL Boulesteix, C Strobl, T Augustin, M Daumer
Cancer Informatics 6, 2008
1592008
Imprecision and prior-data conflict in generalized Bayesian inference
G Walter, T Augustin
Journal of Statistical Theory and Practice 3 (1), 255-271, 2009
752009
An exact corrected log‐likelihood function for Cox's proportional hazards model under measurement error and some extensions
T Augustin
Scandinavian Journal of Statistics 31 (1), 43-50, 2004
702004
Imprecise probability.
FPA Coolen, MCM Troffaes, T Augustin
International encyclopedia of statistical science, 645-648, 2011
692011
A nonparametric predictive alternative to the Imprecise Dirichlet Model: the case of a known number of categories
FPA Coolen, T Augustin
International Journal of Approximate Reasoning 50 (2), 217-230, 2009
632009
On the impact of robust statistics on imprecise probability models: a review
T Augustin, R Hable
Structural Safety 32 (6), 358-365, 2010
572010
Powerful algorithms for decision making under partial prior information and general ambiguity attitudes.
LV Utkin, T Augustin
ISIPTA 5, 349-358, 2005
532005
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model.
FPA Coolen, T Augustin
ISIPTA 5, 125-134, 2005
522005
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences
C Jansen, G Schollmeyer, T Augustin
Proceedings of the tenth international symposium on imprecise probability …, 2017
482017
Decision making under incomplete data using the imprecise Dirichlet model
LV Utkin, T Augustin
International Journal of Approximate Reasoning 44 (3), 322-338, 2007
472007
On the Symbiosis of Two Concepts of Conditional Interval ProbabilityÝ
K Weichselberger, T Augustin
ISIPTA 3, 606, 2003
452003
Statistical inference
T Augustin, G Walter, FPA Coolen
Introduction to Imprecise Probabilities, 135-189, 2014
422014
Expected utility within a generalized concept of probability—a comprehensive framework for decision making under ambiguity
T Augustin
Statistical Papers 43, 5-22, 2002
362002
On Decision Making under Ambiguous Prior and Sampling Information.
T Augustin
ISIPTA 1, 9-16, 2001
362001
Heaping and its consequences for duration analysis
J Wolff, T Augustin
Sonderforschungsbereich 386 (203), 1-31, 2000
35*2000
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