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Katja Ickstadt
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2020 – today
- 2022
- [j21]Sarah Friedrich
, Gerd Antes, Sigrid Behr, Harald Binder
, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler
, Johannes Lederer, Heinz Leitgöb
, Markus Pauly
, Ansgar Steland, Adalbert F. X. Wilhelm
, Tim Friede
:
Is there a role for statistics in artificial intelligence? Adv. Data Anal. Classif. 16(4): 823-846 (2022) - [j20]Katrin Madjar
, Manuela Zucknick, Katja Ickstadt, Jörg Rahnenführer:
Correction to: Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. BMC Bioinform. 23(1): 32 (2022) - [j19]Frank Weber
, Katja Ickstadt, Änne Glass:
shinybrms: Fitting Bayesian Regression Models Using a Graphical User Interface for the R Package brms. R J. 14(2): 96-120 (2022) - [p1]Zeyu Ding, Katja Ickstadt, Alexander Munteanu:
Bayesian Analysis for Dimensionality and Complexity Reduction. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 58-70 - 2021
- [j18]Katrin Madjar
, Manuela Zucknick, Katja Ickstadt, Jörg Rahnenführer
:
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. BMC Bioinform. 22(1): 586 (2021) - 2020
- [j17]Leo N. Geppert, Katja Ickstadt, Alexander Munteanu
, Christian Sohler
:
Streaming statistical models via Merge & Reduce. Int. J. Data Sci. Anal. 10(4): 331-347 (2020) - [i2]Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? CoRR abs/2009.09070 (2020)
2010 – 2019
- 2018
- [j16]Claus Weihs, Katja Ickstadt:
Data Science: the impact of statistics. Int. J. Data Sci. Anal. 6(3): 189-194 (2018) - [j15]Simone Hermann, Katja Ickstadt, Christine H. Müller
:
Bayesian prediction for a jump diffusion process - With application to crack growth in fatigue experiments. Reliab. Eng. Syst. Saf. 179: 83-96 (2018) - 2017
- [j14]Tabea Treppmann
, Katja Ickstadt
, Manuela Zucknick
:
Integration of Multiple Genomic Data Sources in a Bayesian Cox Model for Variable Selection and Prediction. Comput. Math. Methods Medicine 2017: 7340565:1-7340565:19 (2017) - [j13]Leo N. Geppert, Katja Ickstadt, Alexander Munteanu
, Jens Quedenfeld, Christian Sohler
:
Random projections for Bayesian regression. Stat. Comput. 27(1): 79-101 (2017) - [j12]Lars Koppers
, Holger Wormer, Katja Ickstadt:
Towards a Systematic Screening Tool for Quality Assurance and Semiautomatic Fraud Detection for Images in the Life Sciences. Sci. Eng. Ethics 23(4): 1113-1128 (2017) - 2015
- [j11]Jakob Wieczorek, Rahuman S. Malik-Sheriff
, Yessica Fermin
, Hernán E. Grecco, Eli Zamir
, Katja Ickstadt:
Uncovering distinct protein-network topologies in heterogeneous cell populations. BMC Syst. Biol. 9: 24 (2015) - [j10]Martin Schäfer
, Yvonne Radon, Thomas Klein, Sabrina Herrmann, Holger Schwender, Peter J. Verveer, Katja Ickstadt:
A Bayesian mixture model to quantify parameters of spatial clustering. Comput. Stat. Data Anal. 92: 163-176 (2015) - [j9]Swaantje Casjens
, Holger Schwender, Thomas Brüning, Katja Ickstadt:
A novel crossover operator based on variable importance for evolutionary multi-objective optimization with tree representation. J. Heuristics 21(1): 1-24 (2015) - [j8]Roland Fried, Inoncent Agueusop, Björn Bornkamp, Konstantinos Fokianos
, Jana Fruth, Katja Ickstadt:
Retrospective Bayesian outlier detection in INGARCH series. Stat. Comput. 25(2): 365-374 (2015) - [i1]Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Jens Quedenfeld, Christian Sohler:
Random projections for Bayesian regression. CoRR abs/1504.06122 (2015) - 2014
- [j7]Hans-Ulrich Klein
, Martin Schäfer
, Bo T. Porse
, Marie S. Hasemann, Katja Ickstadt, Martin Dugas
:
Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models. Bioinform. 30(8): 1154-1162 (2014) - 2011
- [j6]Tobias Springer, Katja Ickstadt, Joachim Stöckler:
Frame potential minimization for clustering short time series. Adv. Data Anal. Classif. 5(4): 341-355 (2011) - 2010
- [c2]Evgenia Freis, Silvia Selinski, Jan G. Hengstler, Katja Ickstadt:
Cluster Analytic Strategy for Identification of Metagenes Relevant for Prognosis of Node Negative Breast Cancer. GfKl 2010: 475-483
2000 – 2009
- 2009
- [j5]Katharina Podwojski, Arno Fritsch, Daniel C. Chamrad, Wolfgang Paul, Barbara Sitek, Kai Stühler, Petra Mutzel
, Christian Stephan, Helmut E. Meyer, Wolfgang Urfer, Katja Ickstadt, Jörg Rahnenführer
:
Retention time alignment algorithms for LC/MS data must consider non-linear shifts. Bioinform. 25(6): 758-764 (2009) - [j4]Martin Schäfer
, Holger Schwender, Sylvia Merk, Claudia Haferlach, Katja Ickstadt, Martin Dugas:
Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities. Bioinform. 25(24): 3228-3235 (2009) - 2008
- [j3]Holger Schwender, Katja Ickstadt:
Empirical Bayes analysis of single nucleotide polymorphisms. BMC Bioinform. 9 (2008) - 2007
- [j2]Robin Nunkesser, Thorsten Bernholt, Holger Schwender, Katja Ickstadt, Ingo Wegener:
Detecting high-order interactions of single nucleotide polymorphisms using genetic programming. Bioinform. 23(24): 3280-3288 (2007) - [c1]Arno Fritsch, Katja Ickstadt:
Comparing Logic Regression Based Methods for Identifying SNP Interactions. BIRD 2007: 90-103 - 2000
- [j1]Katja Ickstadt:
"Collecting Spatial Data" by W. G. Müller Physica-Verlag (1998), ISBN 3-7908-1134-3. Comput. Stat. 15(2): 313-314 (2000)
Coauthor Index
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