Forschungsbereich Computational Statistics

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
 


Results 1-20 of 1269 (Search time: 0.004 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Vana Gür, Laura Wie künstliche Intelligenz Gender-Bias aufdecktSpecial Contribution Spezialbeitrag2-Apr-2024
2Puchhammer, 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
3Vana Gür, Laura Multivariate ordinal regression for multiple repeated measurementsPreprint Preprint1-Feb-2024
4Muehlmann, Christoph ; Bachoc, Francois ; Nordhausen, Klaus ; Yi, Mengxi Test of the Latent Dimension of a Spatial Blind Source Separation ModelArticle Artikel 2024
5Puchhammer, Patricia ; Filzmoser, Peter Spatially Smoothed Robust Covariance Estimation for Local Outlier DetectionArticle Artikel 21-Dec-2023
6Nesrstova-2023-Journal of Chemometrics-vor.pdf.jpgNesrstová, V. ; Wilms, Ines ; Palarea‐Albaladejo, J. ; Filzmoser, Peter ; Martín‐Fernández, J. A. ; Friedecký, David ; Hron, K. Principal balances of compositional data for regression and classification using partial least squaresArticle Artikel Dec-2023
7Parzer-2023-Sparse Projected Averaged Regression for High-Dimensional Data-smur.pdf.jpgParzer, Roman ; Vana Gür, Laura ; Filzmoser, Peter Sparse Projected Averaged Regression for High-Dimensional DataPreprint Preprint 30-Nov-2023
8Neubauer, Lukas ; Filzmoser, Peter Improving Forecasts for Heterogeneous Time Series by "Averaging", with Application to Food Demand ForecastPreprint Preprint27-Nov-2023
9Damian, Camilla ; Vana Gür, Laura Detecting Gender Bias in Children's BooksPresentation Vortrag10-Nov-2023
10Filzmoser, Peter ; Mayrhofer, Marcus ; Radojicic, Una ; Lewitschnig, Horst Explainable outlier identification for matrix-valued observationsInproceedings Konferenzbeitrag8-Nov-2023
11Piccolotto, Nikolaus ; Bogl, Markus ; Muehlmann, Christoph ; Nordhausen, Klaus ; Filzmoser, Peter ; Schmidt, Johanna ; Miksch, Silvia Data Type Agnostic Visual Sensitivity AnalysisArticle Artikel 3-Nov-2023
12Rieser-2023-Journal of Multivariate Analysis-vor.pdf.jpgRieser, Christopher ; Filzmoser, Peter Extending compositional data analysis from a graph signal processing perspectiveArticle Artikel Nov-2023
13Piccolotto, Nikolaus ; Bögl, Markus ; Mühlmann, Christoph ; Nordhausen, Klaus ; Filzmoser, Peter ; Schmidt, Johanna ; Miksch, Silvia Data Type Agnostic Visual Sensitivity AnalysisPresentation Vortrag26-Oct-2023
14Pfeiffer-2023-Analytica Chimica Acta-vor.pdf.jpgPfeiffer, Pia ; Filzmoser, Peter Robust statistical methods for high-dimensional data, with applications in tribologyArticle Artikel 23-Oct-2023
15Mayrhofer, Marcus ; Lewitschnig, Horst ; Filzmoser, Peter New Mission Profile Model Using Functional Data AnalysisPresentation Vortrag19-Oct-2023
16Rieser-2023-Journal of Geochemical Exploration-vor.pdf.jpgRieser, Christopher ; Fačevicová, Kamila ; Filzmoser, Peter Cell-wise robust covariance estimation for compositions, with application to geochemical dataArticle Artikel Oct-2023
17Filzmoser, Peter ; Mayrhofer, Marcus Outlier explanation based on Shapley values for vector- and matrix-valued observationsInproceedings Konferenzbeitrag12-Sep-2023
18Mayrhofer, Marcus ; Filzmoser, Peter Explainable outlier detection based on Shapley valuesInproceedings Konferenzbeitrag23-Aug-2023
19Heiler, Georg ; Hanbury, Allan ; Filzmoser, Peter The Impact of COVID-19 on Relative Changes in Aggregated Mobility Using Mobile-phone DataArticle Artikel 19-Jul-2023
20Damian, Camilla ; Frey, Rüdiger ; Voigt, Stefan Statistical Inference for Rough and Persistent VolatilityPresentation Vortrag10-Jul-2023