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 1324 (Search time: 0.003 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Huymajer, 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
2Brandl, 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
3Oguamalam-2025-Robust functional PCA for density data-ao.pdf.jpgOguamalam, Jeremy ; Filzmoser, Peter ; Hron, Karel ; Menafoglio, Alessandra ; Radojicic, Una Robust functional PCA for density dataPreprint Preprint 26-Dec-2024
4Radojicic, Una ; Mayrhofer, Marcus ; Filzmoser, Peter Expainable outlier detection for multivariate random processes with separable covariance structurePresentation Vortrag17-Dec-2024
5Parzer-2024-spar Sparse Projected Averaged Regression in R-smur.pdf.jpgParzer, Roman ; Vana Gür, Laura ; Filzmoser, Peter spar: Sparse Projected Averaged Regression in RPreprint Preprint 26-Nov-2024
6Brune, Barbara ; Ortner, Irene ; Filzmoser, Peter A rank-based estimation method for mixed effects models in the presence of outlying dataArticle Artikel18-Nov-2024
7Neubauer, Lukas ; Filzmoser, Peter Enhancing Forecasts Using Real-Time Data Flow and Hierarchical Forecast Reconciliation, with Applications to the Energy SectorPreprint Preprint3-Nov-2024
8Varmuza-2024-Journal of Chemometrics-vor.pdf.jpgVarmuza, Kurt ; Filzmoser, Peter Adjusted Pareto Scaling for Multivariate Calibration ModelsArticle Artikel Nov-2024
9Filzmoser, Peter Accounting for spatial dependencies in robust anomaly detectionPresentation Vortrag29-Oct-2024
10Vorstandlechner, 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
11Filzmoser, Peter Principal Component Analysis: Extensions towards robustness and sparsityPresentation Vortrag25-Oct-2024
12Radojičić, Una ; Mayrhofer, Marcus ; Filzmoser, Peter Explainable Outlier Detection for Multivariate Functional DataPresentation Vortrag25-Oct-2024
13Filzmoser, Peter Robust regression and classification for high-dimensional compositionsPresentation Vortrag17-Oct-2024
14Nesrstová, Viktorie ; Wilms, Ines ; Hron, Karel ; Filzmoser, Peter Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component AnalysisArticle Artikel 10-Oct-2024
15Filzmoser, Peter Outlier detection and explanation for matrix-variate dataPresentation Vortrag7-Oct-2024
16Radojicic, Una ; Mayrhofer, Marcus ; Filzmoser, Peter Explainable outlier detection for multivariate functional data based on a functional Mahalanobis distancePresentation Vortrag3-Oct-2024
17Parzer-2024-Data-Driven Random Projection and Screening for High-Dimensi...-smur.pdf.jpgParzer, Roman ; Filzmoser, Peter ; Vana Gür, Laura Data-Driven Random Projection and Screening for High-Dimensional Generalized Linear ModelsPreprint Preprint 1-Oct-2024
18Neubauer, Lukas ; Filzmoser, Peter Improving forecasts for heterogeneous time series by “averaging”, with application to food demand forecastsArticle Artikel Oct-2024
19Päprer, 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
20Filzmoser, Peter Cell-wise robust and sparse principal component analysisPresentation Vortrag24-Sep-2024