Forschungsbereich Computational Statistics

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Organization Name (de) Name der Organisation (de)
E105-06 - Forschungsbereich Computational Statistics
 
Code Kennzahl
E105-06
 
Type of Organization Organisationstyp
Research Division
 
Parent OrgUnit Übergeordnete Organisation
Active Aktiv
 

OrgUnit's Publications


Results 1-20 of 1229 (Search time: 0.002 seconds).

PreviewAuthors / EditorsTitleTypeIssue Date
1Muehlmann, Christoph ; Bachoc, Francois ; Nordhausen, Klaus ; Yi, Mengxi Test of the Latent Dimension of a Spatial Blind Source Separation ModelArticle Artikel 2024
2Piccolotto, Nikolaus ; Bögl, Markus ; Miksch, Silvia Visual Parameter Space Exploration in Time and SpacePresentation Vortrag14-Jun-2023
3Piccolotto, Nikolaus ; Bögl, Markus ; Miksch, Silvia Multi-Ensemble Visual Analytics via Fuzzy SetsPresentation Vortrag12-Jun-2023
4Piccolotto, Nikolaus ; Bögl, Markus ; Miksch, Silvia Visual Parameter Space Exploration in Time and SpaceArticle Artikel 3-Apr-2023
5Song, Minsun ; Bura, Efstathia ; Parzer, Roman ; Pfeiffer, Ruth Structured time-dependent inverse regression (STIR)Article Artikel 14-Mar-2023
6Filzmoser, Peter ; Mazak-Huemer, Alexandra ; Vogel-Heuser, Birgit ; Wimmer, Manuel Massive Data Sets – Is Data Quality Still an Issue?Book Contribution Buchbeitrag2023
7Piccolotto, Nikolaus ; Bögl, Markus ; Miksch, Silvia ; Angelini, Marco ; El-Assady, Mennatallah Multi-Ensemble Visual Analytics via Fuzzy SetsInproceedings Konferenzbeitrag2023
8Colaneri, Katia ; Damian, Camila ; Frey, Rüdiger Invisible Infections: A Partial Information Approach for Estimating the Transmission Dynamics of the Covid-19 PandemicPreprint Preprint27-Dec-2022
9Damian, Camilla ; Vana Gür, Laura Detecting Gender Bias in Children's Textual LiteraturePresentation Vortrag19-Dec-2022
10Bicher, Martin ; Zuba, Martin ; Rainer, Lukas ; Bachner, Florian ; Rippinger, Claire ; Ostermann, Herwig ; Popper, Nikolas ; Thurner, Stefan ; Klimek, Peter Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning systemArticle Artikel Dec-2022
11Bábek, Ondřej ; Fačevicová, Kamila ; Žídek, Martin ; Sedlacek, Jan ; Muehlmann, Christoph ; Nordhausen, Klaus ; Hron, Karel X-ray fluorescence scanning of soft and wet-sediment cores in terrestrial environments; A robust blind source separation approachArticle Artikel Dec-2022
12Mühlmann, Christoph ; De Iaco, Sandra ; Nordhausen, Klaus Second Order Source Separation for Multivariate Space-Time DataPresentation VortragDec-2022
13Piccolotto, Nikolaus ; Bögl, Markus ; Gschwandtner, Theresia ; Muehlmann, Christoph ; Nordhausen, Klaus ; Filzmoser, Peter ; Miksch, Silvia TBSSvis: Visual analytics for temporal blind source separationArticle Artikel 25-Oct-2022
14Mayrhofer-2022-Multivariate outlier explanations using Shapley values an...-smur.pdf.jpgMayrhofer, Marcus ; Filzmoser, Peter Multivariate outlier explanations using Shapley values and Mahalanobis distancesPreprint Preprint 18-Oct-2022
15Parzer, Roman ; Vana Gür, Laura Bayesian Dimension Reduction for Regressions in High DimensionsPresentation Vortrag1-Oct-2022
16Sarala-2022-Arctic, Antarctic, and Alpine Research-vor.pdf.jpgSarala, P. ; Lunkka, J. P. ; Sarajärvi, V. ; Sarala, O. ; Filzmoser, P. Timing of glacial - non-glacial stages in Finland: An exploratory analysis of the OSL dataArticle Artikel 27-Sep-2022
17Filzmoser, Peter Robust linear and logistic regression for high-dimensional compositional dataPresentation Vortrag20-Sep-2022
18Pfeiffer, Pia ; Ronai, Bettina ; Vorlaufer, Georg ; Dörr, Nicole ; Filzmoser, Peter Prediction of engine oil degradation based on FTIR spectroscopic dataPresentation Vortrag15-Sep-2022
19Pfeiffer, Pia ; Ronai, Bettina ; Vorlaufer, Georg ; Dörr, Nicole ; Filzmoser, Peter Weighted LASSO variable selection for the analysis of FTIR spectra applied to the prediction of engine oil degradationArticle Artikel 15-Sep-2022
20Filzmoser, Peter Benford goes multivariate: A new fraud detection method, with application to music streaming dataPresentation Vortrag31-Aug-2022