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| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Bura, Efstathia | Fusing Sufficient Dimension Reduction with Neural Networks | Presentation Vortrag | 18-Dec-2023 |
| 2 | | Avalos Pacheco, Alejandra | Efficient Integrative Factor Models: Applications from Nutritional Epidemiology to Cancer Genomics | Presentation Vortrag | 17-Dec-2023 |
| 3 | | Hansen, Blake ; Avalos-Pacheco, Alejandra ; Russo, Massimiliano ; De Vito, Roberta | A Variational Bayes Approach to Factor Analysis | Inproceedings Konferenzbeitrag | 30-Nov-2023 |
| 4 | | Avalos Pacheco, Alejandra | Integrative Large-Scale Bayesian Learning: From Factor Analysis to Graphical Models | Presentation Vortrag | 3-Nov-2023 |
| 5 | | Avalos Pacheco, Alejandra | Bayesian Multiple Graphical Models for Heterogenous Data | Presentation Vortrag | 7-Sep-2023 |
| 6 | | Bura, Efstathia | Exact and approximate moment derivation for probabilistic loops with non-polynomial assignments | Presentation Vortrag | 22-Aug-2023 |
| 7 | | Bura, Efstathia | Sufficient Dimension Reduction for Tensor Valued Predictors | Presentation Vortrag | 7-Aug-2023 |
| 8 | | Avalos Pacheco, Alejandra | Bayesian Inference of Multiple Ising Models for Heterogeneous Data | Presentation Vortrag | 2-Aug-2023 |
| 9 | | Avalos Pacheco, Alejandra | Integrative Large-Scale Bayesian Learning: From Factor Analysis to Graphical Models | Presentation Vortrag | 21-Jul-2023 |
| 10 | | Bura, Efstathia | Exact and Approximate Moment Derivation for Probabilistic Loops with Non-polynomial Assignments | Presentation Vortrag | 14-Jul-2023 |
| 11 | | Gordić, Snežana ; Levajković, Tijana ; Oparnica, Ljubica | On a Wick-type stochastic parabolic equations with random potentials | Article Artikel  | Jun-2023 |
| 12 | | Avalos Pacheco, Alejandra ; Ballerini, Veronica ; Pedone, Matteo ; Müller, Peter | Contributed Discussion: Causal Inference Under Mis-Specification: Adjustment Based on the Propensity Score (with Discussion) | Article Artikel | Jun-2023 |
| 13 | | Babić, Danica ; Begović, Boris ; Levajković, Tijana | Probabilistic model for the impact of fear of flying on airline network structures | Article Artikel | Jun-2023 |
| 14 | | Avalos Pacheco, Alejandra | Fast Integrative Factor Models: Applications from Nutritional Epidemiology to Cancer Genomics | Presentation Vortrag | 22-May-2023 |
| 15 | | Avalos Pacheco, Alejandra | Biomedical Data Classification via Machine Learning | Presentation Vortrag | 22-Apr-2023 |
| 16 | | Avalos Pacheco, Alejandra | Heterogenous Data Integration, from Factor Analysis to Graphical Models | Presentation Vortrag | 27-Mar-2023 |
| 17 | | Song, Minsun ; Bura, Efstathia ; Parzer, Roman ; Pfeiffer, Ruth | Structured time-dependent inverse regression (STIR) | Article Artikel | 14-Mar-2023 |
| 18 | | Avalos Pacheco, Alejandra ; Ventz, Steffen ; Arfè, Andrea ; Alexander, Brian M ; Rahman, Rifaquat ; Wen, Patrick Y ; trippa, lorenzo | Validation of Predictive Analyses for Interim Decisions in Clinical Trials | Article Artikel | 27-Feb-2023 |
| 19 | | Avalos Pacheco, Alejandra | Heterogeneous large-scale Bayesian learning | Presentation Vortrag | 27-Feb-2023 |
| 20 | | Avalos Pacheco, Alejandra | Multi-study Factor Regression Models for Large Complex Data with Applications to Nutritional Epidemiology and Cancer Genomics | Presentation Vortrag | 3-Feb-2023 |
