Forschungsbereich Computational Statistics

Organization Name (de) Name der Organisation (de)
E105-06 - Forschungsbereich Computational Statistics
 
Code Kennzahl
E105-06
 
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Research Division
Parent OrgUnit Übergeordnete Organisation
 
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Results 1-100 of 1394 (Search time: 0.001 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Bicher-2026-Simulation Modelling Practice and Theory-vor.pdf.jpgBicher, Martin ; Viehauser, Maximilian ; Giannandrea, Daniele ; Kastinger, Hannah ; Brunmeir, Dominik ; Popper, Niki Novel concepts for agent-based population modelling and simulation: GEPOC ABM 2025Article Artikel Nov-2026
2Jell-2026-A Comparative Analysis of Internal Migration Models Traditional...-vor.pdf.jpgJell, Alexander ; Giannandrea, Daniele ; Popper, Niki ; Bicher, Martin A Comparative Analysis of Internal Migration Models: Traditional Gravity versus Constrained Machine Learning ApproachesInproceedings Konferenzbeitrag 23-Jun-2026
32026-npj Systems Biology and Applications-vor.pdf.jpgSchäpertöns, Veronika ; Hofer, Larissa ; Berger, Thomas ; Štor, Jerneja ; Marx, Nicolas ; Esser-Skala, Wolfgang ; Rauter, Thomas ; Hofreither, Dominik ; Liesinger, Laura ; Filzmoser, Peter ; Birner-Gruenberger, Ruth ; Huber, Christian G. ; Borth, Nicole ; Fortelny, Nikolaus Effects of feeding strategies on culture performance and product quality in NISTCHOArticle Artikel 19-Mar-2026
4Schwab, Nadine ; Wastian, Matthias ; Schneckenreither, Günter ; Hafner, Irene ; Popper, Niki Combined Machine Learning Approaches for Energy Balancing and Trading in AustriaPreprint Preprint3-Mar-2026
5Puchhammer, Patricia ; Wilms, Ines ; Filzmoser, Peter Sparse outlier-robust PCA for multi-source dataArticle Artikel Feb-2026
6Radojicic-2026-Journal of Computational and Graphical Statistics-vor.pdf.jpgRadojičić, Una ; Lietzén, Niko ; Nordhausen, Klaus ; Virta, Joni Order Determination for Tensor-Valued Observations Using Data AugmentationArticle Artikel 2-Jan-2026
7Radojičić, Una ; Nordhausen, Klaus ; Virta, Joni Unsupervised linear discrimination using skewnessArticle Artikel Jan-2026
8Bicher-2026-Mathematical Modeling Framework for Comparison of Vaccination...-vor.pdf.jpgBicher, Martin ; Rippinger, Claire ; Urach, Christoph ; Zauner, Günther ; Zechmeister, Melanie ; Popper, Niki Mathematical Modeling Framework for Comparison of Vaccination Strategies for Different DiseasesInproceedings Konferenzbeitrag 2026
9Radojicic, Una Multivariate functional Mahalanobis distance with application to clusteringPresentation Vortrag15-Dec-2025
10Radojičić, Una ; Nordhausen, Klaus ; Virta, Joni Kurtosis-based projection pursuit for matrix-valued dataArticle Artikel 6-Dec-2025
11Mayrhofer, Marcus Robust Explainable Multivariate and Matrix-variate Data AnalysisPresentation Vortrag26-Nov-2025
12Mayrhofer, Marcus Robust Explainable Multivariate and Matrix-variate Data AnalysisPresentation Vortrag18-Nov-2025
13Radojicic, Una Explainable Outlier Detection of Multivariate Functional DataPresentation Vortrag18-Nov-2025
14Puchhammer, Patricia Robust multi-group Gaussian Mixture Modelling in the presence of cellwise outliersPresentation Vortrag16-Nov-2025
15Bicher, Martin ; Viehauser, Maximilian ; Giannandrea, Daniele ; Kastinger, Hannah ; Brunmeir, Dominik ; Popper, Nikolas Novel Concepts for Agent-Based Population Modelling and Simulation: Updates from GEPOC ABMPreprint Preprint7-Nov-2025
16Bicher, Martin ; Brodersen, Joanna ; Erber, Astrid ; Geier Philipp ; Jeleff, Maren ; Popper, Nikolas ; Rippinger, Claire ; Urach, Christoph ; Zauner, Günther ; Zechmeister, Melanie ; Zimmermann, Claudia Impactevaluierung von Priorisierten ImpfungenReport Bericht6-Nov-2025
17Nordhausen, Klaus ; Radojičić, Una Discussion to the paper ‘Robust Distance Covariance’Article Artikel 6-Oct-2025
18Filzmoser, Peter Statistical aspects in the analysis of high-dimensional (mass) spectral dataPresentation Vortrag26-Sep-2025
19Mayrhofer, Marcus Robustness and explainable outlier detection for multivariate, matrix-variate, and functional settingsPresentation Vortrag2-Sep-2025
20Monti-2025-Bioinformatics-am.pdf.jpgMonti, Gianna Serafina ; Pujolassos, Meritxell ; Calle Rosingana, Malu ; Filzmoser, Peter Robust multivariate regression controlling false discoveries for microbiome dataArticle Artikel Sep-2025
21Facevicova-2025-Statistical Analysis and Data Mining-vor.pdf.jpgFačevicová, Kamila ; Filzmoser, Peter ; Hron, Karel Correspondence analysis from the viewpoint of compositional tablesArticle Artikel Aug-2025
22Radojicic-2025-Biometrika-vor.pdf.jpgRadojičić, Una ; Virta, J Dimension estimation in a spiked covariance model using high-dimensional data augmentationArticle Artikel 21-Jul-2025
23Filzmoser, Peter Robust marginal functional PCA for longtudinal functional dataPresentation Vortrag9-Jul-2025
24Radojicic, Una Robust analysis of density dataPresentation Vortrag8-Jul-2025
25Mayrhofer, Marcus Shapley Values for Outlier DetectionPresentation Vortrag1-Jul-2025
26Pfeiffer-2025-Computational Statistics  Data Analysis-vor.pdf.jpgPfeiffer, Pia ; Alfons, Andreas ; Filzmoser, Peter Efficient computation of sparse and robust maximum association estimatorsArticle Artikel Jul-2025
27Bicher-2025-ACM Transactions on Modeling and Computer Simulation-vor.pdf.jpgBicher, Martin ; Rippinger, Claire ; Urach, Christoph ; Brunmeir, Dominik ; Zechmeister, Melanie ; Popper, Niki Ideas towards Model Families for Multi-Criteria Decision Support: A COVID-19 Case StudyArticle Artikel Jul-2025
28Vana, Laura ; Visconti, Ennio ; Nenzi, Laura ; Cadonna, Annalisa ; Kastner, Gregor Bayesian Machine Learning Meets Formal Methods: An Application to Spatio-Temporal DataArticle Artikel 18-Jun-2025
29Puchhammer, Patricia ; Wilms, Ines ; Filzmoser, Peter Cellwise-robust grouped GMM for smoothed covariance estimationPresentation Vortrag23-May-2025
30Mayrhofer, Marcus ; Radojičić, Una ; Filzmoser, Peter Robustness and Explainability in Multivariate Functional Data AnalysisPresentation Vortrag20-May-2025
31Filzmoser, Peter Robust marginal functional PCA for repeated functional measurementsPresentation Vortrag19-May-2025
32Radojičić, Una ; Lietzen, Niko ; Nordhausen, Klaus ; Virta, J Robust Order Determination for Tensors Using Data AugmentationPresentation Vortrag19-May-2025
33Radojičić, Una Rank determination in second-order-signal model via data augmentationPresentation Vortrag6-May-2025
34Parzer, Roman ; Filzmoser, Peter ; Vana Gür, Laura Sparse data-driven random projection in regression for high-dimensional dataArticle Artikel May-2025
35Puchhammer, Patricia ; Filzmoser, Peter Leveraging spatial anomaly detection for mineral explorationPresentation Vortrag30-Apr-2025
36Filzmoser, Peter Cellwise robustness for sparse PCAPresentation Vortrag25-Apr-2025
37Radojičić, Una Regularized Mahalanobis Distance for DensitiesPresentation Vortrag2-Apr-2025
38Viehauser, Maximilian ; Bicher, Martin ; Rössler, Matthias ; Popper, Niki Disaggregating Train Delays into Primary and Secondary Components using Gated Graph Convolutional NetworksInproceedings Konferenzbeitrag 27-Mar-2025
39Paeprer-2025-IFAC-PapersOnLine-vor.pdf.jpgPäprer, Paul ; Neufeld, Janis S. ; Buscher, Udo ; Scheffler, Martin ; Wastian, Matthias ; Rosenberger, Jakob ; Joshi, Kanchan ; Kocatürk, Fatih ; Ehmke, Jan Fabian ; Kunovjanek, Maximilian ; Schwab, Nadine ; Popper, Niki Challenges and the Need to Integrate Rolling Stock and Crew Scheduling for Efficient Railway OperationsInproceedings Konferenzbeitrag 27-Mar-2025
40Filzmoser, Peter Outlier identification and explanation for matrix-valued observationsPresentation Vortrag14-Feb-2025
41Hafner, Irene ; Bicher, Martin ; Popper, Niki Zero Stability in Hierarchical Co-SimulationInproceedings Konferenzbeitrag 5-Feb-2025
42Schwab, Nadine ; Rößler, Matthias ; Kastinger, Hannah ; Schneckenreither, Günter ; Wastian, Matthias ; Popper, Niki Validation and Quantification of Possible Model Extensions for a Railway Operations Model Using Delay Data DisaggregationInproceedings Konferenzbeitrag 5-Feb-2025
43Huymajer, Marco ; Filzmoser, Peter ; Mazak, Alexandra ; Winkler, Leopold ; Kraxner, Hans Opportunities and pitfalls of regression algorithms for predicting the residual value of heavy equipment — A comparative analysisArticle Artikel 1-Feb-2025
44Nakhost Lotfi, Nasim ; Studenic, P. ; Schwab, Nadine ; Zauner, Günther ; Fechner, Katharina ; Stamm, Tanja ; Jakobsen, T. H. ; Jørgensen, T. S. ; Popper, Nikolas ; Lars Kristensen ; Radner, H. AB1610 NON-PHARMACOLOGICAL AND SELF-MANAGEMENT INTERVENTIONS FOR MAIN OUTCOMES IN RHEUMATOID ARTHRITIS PATIENTS: A SYSTEMATIC REVIEWArticle Artikel 2-Jan-2025
45Brandl, Michael ; Martinez Sevilla, Maria del Carmen ; Hauzenberger, Christoph A. ; Filzmoser, Peter ; Milić, Bogdana ; Horejs, Barbara Unveiling Neolithic Economic Behavior: A Novel Approach to Chert Procurement at Çukuriçi Höyük, Western AnatoliaArticle Artikel 2025
46Mayrhofer, Marcus ; Radojičić, Una ; Filzmoser, Peter Robust And Interpretable Matrix-Variate Data AnalysisInproceedings Konferenzbeitrag2025
47Mayrhofer-2025-Technometrics-vor.pdf.jpgMayrhofer, Marcus ; Radojičić, Una ; Filzmoser, Peter Robust covariance estimation and explainable outlier detection for matrix-valued dataArticle Artikel 2025
48Kalubowila-2025-Bulletin of the Geological Society of Finland-am.pdf.jpgKalubowila, Charmee ; Sarala, Pertti ; Pospiech, Solveig ; Filzmoser, Peter Exploring high-resolution targeting till geochemical data in central Lapland, FinlandArticle Artikel 2025
49Pfeiffer, Pia ; Vana Gür, Laura ; Filzmoser, Peter Cellwise robust and sparse principal component analysisArticle Artikel 2025
50Obukhov Evgeny - 2025 - Robust covariance estimation for tensor-valued...pdf.jpgObukhov, Evgeny Robust covariance estimation for tensor-valued observationsThesis Hochschulschrift 2025
51Parzer, Roman ; Filzmoser, Peter ; Vana-Gür, Laura Data-driven random projection and screening for high-dimensional generalized linear modelsArticle Artikel 2025
52Lewitschnig, Horst J. ; Mayrhofer, Marcus ; Filzmoser, Peter A New View to Mission ProfilesInproceedings Konferenzbeitrag 2025
53Oguamalam, Jeremy ; Filzmoser, Peter ; Hron, Karel ; Menafoglio, Alessandra ; Radojicic, Una Robust functional PCA for density dataPreprint Preprint 26-Dec-2024
54Radojicic, Una ; Mayrhofer, Marcus ; Filzmoser, Peter Expainable outlier detection for multivariate random processes with separable covariance structurePresentation Vortrag17-Dec-2024
55Parzer, Roman ; Vana Gür, Laura ; Filzmoser, Peter spar: Sparse Projected Averaged Regression in RPreprint Preprint 26-Nov-2024
56Brune, Barbara ; Ortner, Irene ; Filzmoser, Peter A rank-based estimation method for mixed effects models in the presence of outlying dataArticle Artikel18-Nov-2024
57Neubauer, Lukas ; Filzmoser, Peter Enhancing Forecasts Using Real-Time Data Flow and Hierarchical Forecast Reconciliation, with Applications to the Energy SectorPreprint Preprint3-Nov-2024
58Varmuza-2024-Journal of Chemometrics-vor.pdf.jpgVarmuza, Kurt ; Filzmoser, Peter Adjusted Pareto Scaling for Multivariate Calibration ModelsArticle Artikel Nov-2024
59Filzmoser, Peter Accounting for spatial dependencies in robust anomaly detectionPresentation Vortrag29-Oct-2024
60Vorstandlechner, Michael ; Harlfinger, Julia ; Kien, Christina ; Ritschl, Valentin ; Chapman, Anna ; Schneckenreither, Günter ; Zauner, Günther ; Gartlehner, Gerald ; Popper, Nikolas ; Stamm, Tanja Impact of COVID-19 measures on psychosocial outcomes in Austria – a qualitative vignette studyArticle Artikel 28-Oct-2024
61Filzmoser, Peter Principal Component Analysis: Extensions towards robustness and sparsityPresentation Vortrag25-Oct-2024
62Radojičić, Una ; Mayrhofer, Marcus ; Filzmoser, Peter Explainable Outlier Detection for Multivariate Functional DataPresentation Vortrag25-Oct-2024
63Filzmoser, Peter Robust regression and classification for high-dimensional compositionsPresentation Vortrag17-Oct-2024
64Nesrstová, Viktorie ; Wilms, Ines ; Hron, Karel ; Filzmoser, Peter Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component AnalysisArticle Artikel 10-Oct-2024
65Filzmoser, Peter Outlier detection and explanation for matrix-variate dataPresentation Vortrag7-Oct-2024
66Radojicic, Una ; Mayrhofer, Marcus ; Filzmoser, Peter Explainable outlier detection for multivariate functional data based on a functional Mahalanobis distancePresentation Vortrag3-Oct-2024
67Parzer, Roman ; Filzmoser, Peter ; Vana Gür, Laura Data-Driven Random Projection and Screening for High-Dimensional Generalized Linear ModelsPreprint Preprint 1-Oct-2024
68Neubauer, Lukas ; Filzmoser, Peter Improving forecasts for heterogeneous time series by “averaging”, with application to food demand forecastsArticle Artikel Oct-2024
69Päprer, Paul ; Neufeld, Janis S. ; Buscher, Udo ; Kunovjanek, Maximilian ; Wastian, Matthias ; Rosenberger, Jakob ; Joshi, Kanchan ; Scherr, Ninja ; Ehmke, Jan ; Schwab, Nadine ; Popper, Nikolas Zielkonflikte in der Umlaufplanung für TriebfahrzeugeSpecial Contribution SpezialbeitragOct-2024
70Filzmoser, Peter Cell-wise robust and sparse principal component analysisPresentation Vortrag24-Sep-2024
71Filzmoser, Peter Explainable outlier identification for vector- and matrix-valued observationsPresentation Vortrag10-Sep-2024
72May, Daniel ; Bonelli, Johannes ; Feuchtner, Monika ; Filzmoser, Peter ; Prat, Enrique H. ; Kummer, Susanne Symptom-Score des Sterbeprozesses zur Prognosebeurteilung des Sterbeprozesses bei Bewohnern in PflegeheimenArticle Artikel9-Sep-2024
73Oguamalam, Jeremy ; Radojičić, Una ; Filzmoser, Peter Functional Outlier DetectionPresentation Vortrag5-Sep-2024
74Anna-Christina Glock ; Sobieczky, Florian ; Fürnkranz, Johannes ; Filzmoser, Peter ; Jech, Martin Predictive change point detection for heterogeneous dataArticle Artikel Sep-2024
75Mayrhofer, Marcus ; Radojicic, Una ; Filzmoser, Peter Robust covariance estimation for matrix-valued dataPresentation Vortrag13-Aug-2024
76Mayrhofer, Marcus ; Radojičić, Una ; Filzmoser, Peter Robust PCA and explainable outlier detection for multivariate functional data based on a functional Mahalanobis distancePresentation Vortrag31-Jul-2024
77Filzmoser, Peter Cellwise robust and sparse PCAPresentation Vortrag30-Jul-2024
78Puchhammer, Patricia ; Wilms, Ines ; Filzmoser, Peter Robust sparse PCA for spatial dataPresentation Vortrag29-Jul-2024
79Puchhammer, Patricia ; Wilms, Ines ; Filzmoser, Peter Sparse outlier-robust PCA for multi-source dataPreprint Preprint23-Jul-2024
80Neubauer, Lukas ; Filzmoser, Peter Rediscovering Bottom-Up: Effective Forecasting in Temporal HierarchiesPreprint Preprint2-Jul-2024
81Schwendinger, Florian ; Vana, Laura ; Hornik, Kurt Readability prediction: How many features are necessary?Article Artikel Jun-2024
82Oguamalam, Jeremy ; Radojičić, Una ; Filzmoser, Peter Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional DataArticle Artikel 7-May-2024
83Oguamalam, Jeremy ; Radojicic, Una ; Filzmoser, Peter Robust covariance estimation and functional anomaly detection based on the Minimum Regularized Covariance Trace estimatorInproceedings Konferenzbeitrag4-Apr-2024
84Mayrhofer, Marcus ; Radojicic, Una ; Filzmoser, Peter Explainable anomaly detection using Shapley valuesPresentation Vortrag4-Apr-2024
85Puchhammer, Patricia ; Filzmoser, Peter ; Wilms, Ines Groupwise sparse PCA for spatial dataPresentation Vortrag4-Apr-2024
86Vana Gür, Laura Wie künstliche Intelligenz Gender-Bias aufdecktSpecial Contribution Spezialbeitrag2-Apr-2024
87Matys Grygar, Tomas ; Radojičić, Una ; Pavlu, Ivana ; Greven, Sonja ; Nešlehová, Johanna G. ; Tůmová, Štěpánka ; Hron, Karel Exploratory functional data analysis of multivariate densities for the identification of agricultural soil contamination by risk elementsArticle Artikel Apr-2024
88Puchhammer, Patricia ; Kalubowila, Charmee ; Braus, Lorena ; Pospiech, Solveig ; Sarala, Pertti ; Filzmoser, Peter A performance study of local outlier detection methods for mineral exploration with geochemical compositional dataArticle Artikel Mar-2024
89Muehlmann, Christoph ; Filzmoser, Peter ; Nordhausen, Klaus Local Difference Matrices for Spatial Blind Source SeparationInproceedings Konferenzbeitrag 27-Feb-2024
90Vana Gür, Laura Multivariate ordinal regression for multiple repeated measurementsPreprint Preprint1-Feb-2024
91Schwendinger, Benjamin ; Schwendinger, Florian ; Vana, Laura Holistic Generalized Linear ModelsArticle Artikel Feb-2024
92Brunmeir, Dominik ; Bicher, Martin ; Popper, Nikolas ; Rößler, Matthias ; Urach, Christoph ; Rippinger, Claire ; Wastian, Matthias Four Years of Not-Using a Simulator: The Agent-Based TemplateInproceedings Konferenzbeitrag 31-Jan-2024
93Mühlmann, Christoph ; Filzmoser, Peter ; Nordhausen, Klaus Spatial Blind Source Separation in the Presence of a DriftArticle Artikel 16-Jan-2024
94Vana Guer-2024-Multivariate ordinal regression for multiple repeated meas...-vor.pdf.jpgVana Gür, Laura Multivariate ordinal regression for multiple repeated measurementsPresentation Vortrag 2024
95Muehlmann, Christoph ; Bachoc, Francois ; Nordhausen, Klaus ; Yi, Mengxi Test of the Latent Dimension of a Spatial Blind Source Separation ModelArticle Artikel 2024
96Mayrhofer, Marcus ; Radojicic, Una ; Filzmoser, Peter A minimum covariance determinant approach for matrix-variate dataInproceedings Konferenzbeitrag2024
97Parzer, Roman ; Filzmoser, Peter ; Vana Gür, Laura Random projections for classification with high-dimensional dataInproceedings Konferenzbeitrag2024
98Parzer, Roman ; Vana Gür, Laura ; Filzmoser, Peter Sparse data-driven random projection in regression for high-dimensional dataInproceedings Konferenzbeitrag2024
99Möttönen, Jyrki ; Nordhausen, Klaus ; Oja, Hannu ; Radojicic, Una The Asymptotic Properties of the One-Sample Spatial Rank MethodsBook Contribution Buchbeitrag2024
100Cappello, Claudia ; Piccolotto, Nikolaus ; Mühlmann, Christoph ; Bögl, Markus ; Filzmoser, Peter ; Miksch, Silvia ; Nordhausen, Klaus Visual Interactive Parameter Selection for Temporal Blind Source SeparationArticle Artikel 2024