Forschungsbereich Angewandte Statistik

Organization Name (de) Name der Organisation (de)
E105-08 - Forschungsbereich Angewandte Statistik
 
Code Kennzahl
E105-08
 
Type of Organization Organisationstyp
Research Division
Parent OrgUnit Übergeordnete Organisation
 
Active Aktiv
 


Results 1-20 of 314 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Kofnov, Andrey ; Bartocci, Ezio ; Bura, Efstathia Moment-based Density Elicitation with Applications in Probabilistic LoopsArticle Artikel Apr-2025
2Bura, Efstathia ; Kapla, Daniel Benjamin Generalized Multi-Linear Models for Tensor Valued PredictorsPresentation Vortrag19-Dec-2024
3Bura, Efstathia Sufficient Dimension Reduction in Regression and Classification: An overview and recent results for matrix-valued predictorsPresentation Vortrag17-Oct-2024
4Bura, Efstathia Sufficient Reductions in Regressions with Complex Data.Presentation Vortrag8-Aug-2024
5Hansen, Blake ; Avalos Pacheco, Alejandra ; Russo, Massimiliano ; De Vito, Roberta Fast variational inference for Bayesian factor analysis in single and multi-study settingsArticle Artikel 17-Jul-2024
6Kofnov-2024-ACM Transactions on Modeling and Computer Simulation-vor.pdf.jpgKofnov, Andrey ; Moosbrugger, Marcel ; Stankovic, Miroslav ; Bartocci, Ezio ; Bura, Efstathia Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial AssignmentsArticle Artikel 10-Jul-2024
7Bura, Efstathia Generalized multi-linear models for tensor-valued predictorsPresentation Vortrag4-Jan-2024
8Levajković, Tijana ; Pilipović, Stevan ; Seleši, Dora ; Žigić, Milica Stochastic evolution equations with Wick-analytic nonlinearitiesArticle Artikel 2024
9Tiberi-2024-Biostatistics-vor.pdf.jpgTiberi, Simone ; Meili, Joël ; Cai, Peiying ; Soneson, Charlotte ; He, Dongze ; Sarkar, Hirak ; Avalos Pacheco, Alejandra ; Patro, Rob ; Robinson, Mark D DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genesArticle Artikel 2024
10Bura, Efstathia Fusing Sufficient Dimension Reduction with Neural NetworksPresentation Vortrag18-Dec-2023
11Avalos Pacheco, Alejandra Efficient Integrative Factor Models: Applications from Nutritional Epidemiology to Cancer GenomicsPresentation Vortrag17-Dec-2023
12Hansen, Blake ; Avalos-Pacheco, Alejandra ; Russo, Massimiliano ; De Vito, Roberta A Variational Bayes Approach to Factor AnalysisInproceedings Konferenzbeitrag30-Nov-2023
13Avalos Pacheco, Alejandra Integrative Large-Scale Bayesian Learning: From Factor Analysis to Graphical ModelsPresentation Vortrag3-Nov-2023
14Avalos Pacheco, Alejandra Bayesian Multiple Graphical Models for Heterogenous DataPresentation Vortrag7-Sep-2023
15Bura, Efstathia Exact and approximate moment derivation for probabilistic loops with non-polynomial assignmentsPresentation Vortrag22-Aug-2023
16Bura, Efstathia Sufficient Dimension Reduction for Tensor Valued PredictorsPresentation Vortrag7-Aug-2023
17Avalos Pacheco, Alejandra Bayesian Inference of Multiple Ising Models for Heterogeneous DataPresentation Vortrag2-Aug-2023
18Avalos Pacheco, Alejandra Integrative Large-Scale Bayesian Learning: From Factor Analysis to Graphical ModelsPresentation Vortrag21-Jul-2023
19Bura, Efstathia Exact and Approximate Moment Derivation for Probabilistic Loops with Non-polynomial AssignmentsPresentation Vortrag14-Jul-2023
20Gordić, Snežana ; Levajković, Tijana ; Oparnica, Ljubica On a Wick-type stochastic parabolic equations with random potentialsArticle Artikel Jun-2023