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| | Preview | Authors / Editors | Title | Type | Issue Date |
| 1 | | Kofnov, Andrey ; Kapla, Daniel Benjamin ; Bartocci, Ezio ; Bura, Efstathia | Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs | Presentation Vortrag | 17-Dec-2025 |
| 2 | | Kofnov, Andrey ; Bartocci, Ezio ; Bura, Efstathia | Moment-based Density Elicitation with Applications in Probabilistic Loops | Article Artikel  | Apr-2025 |
| 3 | | Kofnov, Andrey ; Kapla, Daniel Benjamin ; Bartocci, Ezio ; Bura, Efstathia | Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs | Inproceedings Konferenzbeitrag | 2025 |
| 4 | | Bura, Efstathia ; Kapla, Daniel Benjamin | Generalized Multi-Linear Models for Tensor Valued Predictors | Presentation Vortrag | 19-Dec-2024 |
| 5 | | Bura, Efstathia | Sufficient Dimension Reduction in Regression and Classification: An overview and recent results for matrix-valued predictors | Presentation Vortrag | 17-Oct-2024 |
| 6 | | Bura, Efstathia | Sufficient Reductions in Regressions with Complex Data. | Presentation Vortrag | 8-Aug-2024 |
| 7 |  | Hansen, Blake ; Avalos Pacheco, Alejandra ; Russo, Massimiliano ; De Vito, Roberta | Fast variational inference for Bayesian factor analysis in single and multi-study settings | Article Artikel   | 17-Jul-2024 |
| 8 |  | Kofnov, Andrey ; Moosbrugger, Marcel ; Stankovic, Miroslav ; Bartocci, Ezio ; Bura, Efstathia | Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments | Article Artikel | 10-Jul-2024 |
| 9 | | Bura, Efstathia | Generalized multi-linear models for tensor-valued predictors | Presentation Vortrag | 4-Jan-2024 |
| 10 | | Levajković, Tijana ; Pilipović, Stevan ; Seleši, Dora ; Žigić, Milica | Stochastic evolution equations with Wick-analytic nonlinearities | Article Artikel | 2024 |
| 11 |  | Tiberi, 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 genes | Article Artikel | 2024 |
| 12 | | Bura, Efstathia | Fusing Sufficient Dimension Reduction with Neural Networks | Presentation Vortrag | 18-Dec-2023 |
| 13 | | Avalos Pacheco, Alejandra | Efficient Integrative Factor Models: Applications from Nutritional Epidemiology to Cancer Genomics | Presentation Vortrag | 17-Dec-2023 |
| 14 | | Hansen, Blake ; Avalos-Pacheco, Alejandra ; Russo, Massimiliano ; De Vito, Roberta | A Variational Bayes Approach to Factor Analysis | Inproceedings Konferenzbeitrag | 30-Nov-2023 |
| 15 | | Avalos Pacheco, Alejandra | Integrative Large-Scale Bayesian Learning: From Factor Analysis to Graphical Models | Presentation Vortrag | 3-Nov-2023 |
| 16 | | Avalos Pacheco, Alejandra | Bayesian Multiple Graphical Models for Heterogenous Data | Presentation Vortrag | 7-Sep-2023 |
| 17 | | Bura, Efstathia | Exact and approximate moment derivation for probabilistic loops with non-polynomial assignments | Presentation Vortrag | 22-Aug-2023 |
| 18 | | Bura, Efstathia | Sufficient Dimension Reduction for Tensor Valued Predictors | Presentation Vortrag | 7-Aug-2023 |
| 19 | | Avalos Pacheco, Alejandra | Bayesian Inference of Multiple Ising Models for Heterogeneous Data | Presentation Vortrag | 2-Aug-2023 |
| 20 | | Avalos Pacheco, Alejandra | Integrative Large-Scale Bayesian Learning: From Factor Analysis to Graphical Models | Presentation Vortrag | 21-Jul-2023 |
| 21 | | Bura, Efstathia | Exact and Approximate Moment Derivation for Probabilistic Loops with Non-polynomial Assignments | Presentation Vortrag | 14-Jul-2023 |
| 22 | | Gordić, Snežana ; Levajković, Tijana ; Oparnica, Ljubica | On a Wick-type stochastic parabolic equations with random potentials | Article Artikel | Jun-2023 |
| 23 | | Babić, Danica ; Begović, Boris ; Levajković, Tijana | Probabilistic model for the impact of fear of flying on airline network structures | Article Artikel | Jun-2023 |
| 24 | | 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 |
| 25 | | Avalos Pacheco, Alejandra | Fast Integrative Factor Models: Applications from Nutritional Epidemiology to Cancer Genomics | Presentation Vortrag | 22-May-2023 |
| 26 | | Avalos Pacheco, Alejandra | Biomedical Data Classification via Machine Learning | Presentation Vortrag | 22-Apr-2023 |
| 27 | | Avalos Pacheco, Alejandra | Heterogenous Data Integration, from Factor Analysis to Graphical Models | Presentation Vortrag | 27-Mar-2023 |
| 28 | | Song, Minsun ; Bura, Efstathia ; Parzer, Roman ; Pfeiffer, Ruth | Structured time-dependent inverse regression (STIR) | Article Artikel | 14-Mar-2023 |
| 29 | | Avalos Pacheco, Alejandra | Heterogeneous large-scale Bayesian learning | Presentation Vortrag | 27-Feb-2023 |
| 30 | | 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 |
| 31 | | 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 |
| 32 | | Avalos Pacheco, Alejandra ; Roberta De Vito | Integrative Factor Models for Biomedical Applications | Inproceedings Konferenzbeitrag | 2023 |
| 33 | | Levajković, Tijana ; Messer, Michael | Multiscale change point detection via gradual bandwidth adjustment in moving sum processes | Article Artikel | 2023 |
| 34 | | Avalos Pacheco, Alejandra ; De Vito, Roberta ; Maire, Florian | Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23 | Proceedings Tagungsband | 2023 |
| 35 |  | Gressler, Laura ; Avila-Tang, Erika ; Mao, Jialin ; Avalos Pacheco, Alejandra ; Shaya, Fadia ; Torosyan, Yelizaveta (Lisa) ; Liebeskind, Alexander ; Kinard, Madris ; Mack, Christina ; Normand, Sharon-Lise T. ; Ritchey, Mary ; Marinac-Dabic, Danica | Data sources and applied methods for paclitaxel safety signal discernment | Article Artikel | 2023 |
| 36 | | Avalos Pacheco, Alejandra | Multi-study Factor Regression Models for Heterogenous Data: Applications to Nutritional Epidemiology and Cancer Genomics | Presentation Vortrag | 18-Dec-2022 |
| 37 | | Avalos Pacheco, Alejandra | Cross-study Factor Regression for Heterogeneous Datasets | Presentation Vortrag | 14-Dec-2022 |
| 38 | | Avalos Pacheco, Alejandra | Cross-study Factor Regression Models for Large Complex Biomedical Data | Presentation Vortrag | 8-Dec-2022 |
| 39 | | Bura, Efstathia | Ensemble Conditional Variance Estimation for Sufficient Dimension Reduction | Presentation Vortrag | Dec-2022 |
| 40 | | Bura, Efstathia | Sufficient reductions in regression with mixed predictors | Presentation Vortrag | Dec-2022 |
| 41 | | Avalos Pacheco, Alejandra | Multi-study Factor Regression Models for Heterogenous Data with Applications to Nutritional Epidemiology and Cancer Genomics | Presentation Vortrag | 23-Nov-2022 |
| 42 | | Bura, Efstathia | Ensemble Conditional Variance Estimation for Sufficient Dimension Reduction | Presentation Vortrag | 10-Nov-2022 |
| 43 | | Bura, Efstathia | Sufficient reductions in regression with mixed predictors | Presentation Vortrag | 2-Nov-2022 |
| 44 | | Bura, Efstathia | Sufficient reductions in regression with mixed predictors | Presentation Vortrag | Nov-2022 |
| 45 | | Levajkovic, Tijana | Spectral methods for stochastic partial differential equations and the related optimal control problem | Presentation Vortrag | Nov-2022 |
| 46 | | Avalos Pacheco, Alejandra | Multi-study Factor Regression Models for Large Complex Data with Applications to Nutritional Epidemiology and Cancer Genomics | Presentation Vortrag | 20-Oct-2022 |
| 47 | | Bura, Efstathia | Ensemble Conditional Variance Estimation for Sufficient Dimension Reduction | Presentation Vortrag | 16-Oct-2022 |
| 48 | | Levajkovic, Tijana | Spectral methods for SPDEs with applications | Presentation Vortrag | Oct-2022 |
| 49 | | Bura, Efstathia | Sufficient reductions in regression with mixed predictors | Presentation Vortrag | 23-Sep-2022 |
| 50 | | Karimi, Ahmad ; Moosbrugger, Marcel ; Stankovič, Miroslav ; Kovács, Laura ; Bartocci, Ezio ; Bura, Efstathia | Distribution Estimation for Probabilistic Loops | Inproceedings Konferenzbeitrag | 12-Sep-2022 |
| 51 | | Levajkovic, Tijana | A spectral method approach for solving SPDEs and the related control problems | Presentation Vortrag | Sep-2022 |
| 52 | | Bura, Efstathia | Sufficient reductions in regression with mixed predictors | Presentation Vortrag | Jul-2022 |
| 53 | | Brune, Barbara ; Scherrer, Wolfgang ; Bura, Efstathia | A state-space approach to time-varying reduced-rank regression | Article Artikel | 28-May-2022 |
| 54 | | Polechová, Jitka ; Johnson, Kory Douglas ; Payne, Pavel ; Crozier, Alex ; Beiglböck, Mathias ; Plevka, Pavel ; Schernhammer, Eva | SARS-CoV-2 rapid antigen tests provide benefits for epidemic control - observations from Austrian schools | Article Artikel | May-2022 |
| 55 | | Kapla, Daniel Benjamin ; Fertl, Lukas ; Bura, Efstathia | Fusing sufficient dimension reduction with neural networks | Artikel Article | Apr-2022 |
| 56 | | Fertl, Lukas ; Bura, Efstathia | The ensemble conditional variance estimator for sufficient dimension reduction | Article Artikel | 2022 |
| 57 | | Fertl, Lukas ; Bura, Efstathia | Conditional variance estimator for sufficient dimension reduction | Artikel Article | 2022 |
| 58 | | Bura, Efstathia ; Forzani, Liliana ; Arancibia, Rodrigo Garcia ; Llop, Pamela ; Tomassi, Diego | Sufficient reductions in regression with mixed predictors | Artikel Article | 2022 |
| 59 | | Ekvall, Karl Oskar | Targeted principal components regression | Artikel Article | 2022 |
| 60 | | Ekvall, Karl Oskar ; Molstad, Aaron J. | Mixed-type multivariate response regression with covariance estimation | Artikel Article | 2022 |
| 61 | | Kofnov, Andrey ; Moosbrugger, Marcel ; Stankovič, Miroslav ; Bartocci, Ezio ; Bura, Efstathia | Moment-Based Invariants for Probabilistic Loops with Non-polynomial Assignments | Inproceedings Konferenzbeitrag | 2022 |
| 62 | | Pfeiffer, Ruth ; Kapla, Daniel Benjamin ; Bura, Efstathia | Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors | Artikel Article | Jan-2021 |
| 63 | | Johnson, Kory Douglas | Disease "Momentum": Estimating the Reproduction Number Under Superspreading | Präsentation Presentation | 2021 |
| 64 | | Johnson, Kory Douglas | Robust Models of SARS-CoV-2 Heterogeneity and Control: Controlling simulated outbreaks of new SARS-CoV-2 variants | Präsentation Presentation | 2021 |
| 65 | | Levajković, Tijana | Stochastic evolution equations: A polynomial chaos approach | Präsentation Presentation | 2021 |
| 66 | | Levajković, Tijana | Stochastic parabolic equations with singularities | Präsentation Presentation | 2021 |
| 67 | | Bura, Efstathia | Extracting Information from Data: Past, present and future research directions | Präsentation Presentation | 2021 |
| 68 | | Kapla, Daniel Benjamin | Fusing Sufficient Dimension Reduction with Neural Networks | Präsentation Presentation | 2021 |
| 69 | | Bura, Efstathia ; Li, Bing ; Li, Lexin ; Nachtsheim, Christopher ; Pena, Daniel ; Setodji, Claude ; Weiss, Robert E. | A Conversation with Dennis Cook | Artikel Article | 2021 |
| 70 | | Ekvall, Karl Oskar ; Jones, Galin L. | Convergence analysis of a collapsed Gibbs sampler for Bayesian vector autoregressions | Artikel Article | 2021 |
| 71 | | Bura, Efstathia ; Barbarino, Alessandro | Forecasting Near-equivalence of Linear Dimension Reduction Methods in Large Panels of Macro-variables | Artikel Article | 2021 |
| 72 | | Gordić, Snežana ; Levajković, Tijana ; Oparnica, Ljubica | Stochastic parabolic equations with singular potentials | Artikel Article | 2021 |
| 73 | | Muehlmann, Christoph ; Oja, Hannu ; Nordhausen, Klaus | Sliced Inverse Regression for Spatial Data | Buchbeitrag Book Contribution | 2021 |
| 74 | | Viertl, Reinhard | Measurement results and fuzzy models | Buchbeitrag Book Contribution | 2021 |
| 75 | | Bura, Efstathia ; Li, Bing | Festschrift in Honor of R. Dennis Cook : Fifty Years of Contribution to Statistical Science | Buch Book | 2021 |
| 76 | | Levajković, Tijana ; Oparnica, Ljubica ; Gordic, Snezana | The stochastic heat equation with singular potential | Präsentation Presentation | 2020 |
| 77 | | Bartocci, Ezio ; Kovacs, Laura ; Bura, Efstathia | ProbInG: Distribution Recovery for Invariant Generation of Probabilistic Programs | Präsentation Presentation | 2020 |
| 78 | | Messer, Michael | Bivariate change point detection - joint detection of changes in expectation or variance, Oberseminar zur Stochastik | Präsentation Presentation | 2020 |
| 79 | | Messer, Michael | Bivariate change point detection - joint detection of changes in expectation or variance | Präsentation Presentation | 2020 |
| 80 | | Bura, Efstathia ; Bartocci, Ezio ; Semeen, Rehman | Secure and Intelligent Human-Centric Digital Technologies (SecInt) | Präsentation Presentation | 2020 |
| 81 | | Messer, Michael ; Backhaus, Hendrik ; Fu, Ting ; Stroh, Albrecht ; Schneider, Gaby | A multi-scale approach for testing and detecting peaks in time series | Artikel Article | 2020 |
| 82 | | Kofler, Andreas ; Levajković, Tijana ; Mena, Hermann ; Ostermann, Alexander | A splitting/polynomial chaos expansion approach for stochastic evolution equations. | Artikel Article | 2020 |
| 83 | | Trindade, Orlando S. ; Berisha, Taulant ; Svoboda, Philipp ; Bura, Efstathia ; Mecklenbräuker, Christoph | Assessment of Treatment Influence in Mobile Network Coverage on board High-Speed Trains | Artikel Article | 2020 |
| 84 | | Bura, Efstathia | Sufficient reductions of mixed predictors | Präsentation Presentation | 2019 |
| 85 | | Bura, Efstathia | Sufficient Reductions for Exponential Family Mixed Predictors | Präsentation Presentation | 2019 |
| 86 | | Ekvall, Karl Oskar ; Jones, Galin | Convergence analysis of a collapsed Gibbs sampler for Bayesian vector autoregressions | Präsentation Presentation | 2019 |
| 87 | | Bura, Efstathia | Sufficient dimension reduction in econometrics | Präsentation Presentation | 2019 |
| 88 | | Bura, Efstathia | Sufficient Reductions in the Elliptical Contoured and Exponential Families of Distributions | Präsentation Presentation | 2019 |
| 89 | | Messer, Michael ; Schneider, Gaby | Statistik | Buch Book | 2019 |
| 90 | | Bura, Efstathia ; Pfeiffer, Ruth ; Wang, Wei | Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors | Konferenzbeitrag Inproceedings | 2019 |
| 91 | | Bura, Efstathia | Least Squares and ML Estimation Approaches of the Sufficient Reduction for Matrix Valued Predictors | Präsentation Presentation | 1-Jan-2018 |
| 92 | | Sunanta, Owat ; Viertl, Reinhard | Bayesian Inference and Fuzzy Information | Buchbeitrag Book Contribution | 2018 |
| 93 | | Levajković, Tijana | The stochastic linear quadratic regulator problem: Theory and numerical approximation | Präsentation Presentation | 2018 |
| 94 | | Levajković, Tijana | The stochastic linear quadratic regulator problem | Präsentation Presentation | 2018 |
| 95 | | Levajković, Tijana | The stochastic linear quadratic regulator problem: A chaos expansion approach | Präsentation Presentation | 2018 |
| 96 | | Bura, Efstathia | Least Squares and ML Estimation Approaches of the Sufficient Reduction for Matrix Valued Predictors | Präsentation Presentation | 2018 |
| 97 | | Sunanta, Owat | Generalized Point Estimators for Fuzzy Multivariate Data | Artikel Article | 2018 |
| 98 | | Bura, E. ; Duarte, S. ; Forzani, L. ; Smucler, E. ; Sued, M. | Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models | Artikel Article | 2018 |
| 99 | | Cencic, Oliver ; Frühwirth, Rudolf | Data reconciliation of nonnormal observations with nonlinear constraints | Artikel Article | 2018 |
| 100 | | Levajković, Tijana ; Pilipović, Stevan ; Seleši, Dora ; Žigić, Milica | Stochastic evolution equations with Wick-polynomial nonlinearities | Artikel Article | 2018 |
