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Efstathia Bura
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2020 – today
- 2024
- [j7]Andrey Kofnov
, Marcel Moosbrugger
Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments. ACM Trans. Model. Comput. Simul. 34(3): 18:1-18:25 (2024) - 2023
- [i3]Andrey Kofnov
Density Elicitation with applications in Probabilistic Loops. CoRR abs/2304.09094 (2023) - [i2]Andrey Kofnov
Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments. CoRR abs/2306.07072 (2023) - 2022
- [j6]Daniel B. Kapla, Lukas Fertl, Efstathia Bura:
Fusing sufficient dimension reduction with neural networks. Comput. Stat. Data Anal. 168: 107390 (2022) - [j5]Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi:
Sufficient reductions in regression with mixed predictors. J. Mach. Learn. Res. 23: 102:1-102:47 (2022) - [c3]Andrey Kofnov
Moment-Based Invariants for Probabilistic Loops with Non-polynomial Assignments. QEST 2022: 3-25 - [c2]Ahmad Karimi, Marcel Moosbrugger, Miroslav Stankovic, Laura Kovács, Ezio Bartocci
Distribution Estimation for Probabilistic Loops. QEST 2022: 26-42 - [i1]Andrey Kofnov
Moment-based Invariants for Probabilistic Loops with Non-polynomial Assignments. CoRR abs/2205.02577 (2022) - 2021
- [j4]Ruth M. Pfeiffer, Daniel B. Kapla, Efstathia Bura:
Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors. Int. J. Data Sci. Anal. 11(1): 11-26 (2021) - 2020
- [j3]Orlando Trindade
Assessment of Treatment Influence in Mobile Network Coverage on Board High-Speed Trains. IEEE Access 8: 162945-162960 (2020)
2010 – 2019
- 2019
- [c1]Ruth M. Pfeiffer, Wei Wang, Efstathia Bura:
Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors. DSAA 2019: 135-144 - 2011
- [j2]Efstathia Bura, Jiao Yang:
Dimension estimation in sufficient dimension reduction: A unifying approach. J. Multivar. Anal. 102(1): 130-142 (2011)
2000 – 2009
- 2003
- [j1]Efstathia Bura, Ruth M. Pfeiffer:
Graphical Methods for Class Prediction Using Dimension Reduction Techniques on DNA Microarray Data. Bioinform. 19(10): 1252-1258 (2003)
Coauthor Index
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