Standard
Correct Approximation of Stationary Distributions. /
Meggendorfer, Tobias.
Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings. ed. / Sriram Sankaranarayanan; Natasha Sharygina. Springer, 2023. p. 489-507 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13993 LNCS).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Meggendorfer, T 2023,
Correct Approximation of Stationary Distributions. in S Sankaranarayanan & N Sharygina (eds),
Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13993 LNCS, Springer, pp. 489-507.
https://doi.org/10.1007/978-3-031-30823-9_25
APA
Meggendorfer, T. (2023).
Correct Approximation of Stationary Distributions. In S. Sankaranarayanan, & N. Sharygina (Eds.),
Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings (pp. 489-507). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13993 LNCS). Springer.
https://doi.org/10.1007/978-3-031-30823-9_25
Vancouver
Meggendorfer T.
Correct Approximation of Stationary Distributions. In Sankaranarayanan S, Sharygina N, editors, Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings. Springer. 2023. p. 489-507. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-30823-9_25
Author
Meggendorfer, Tobias. /
Correct Approximation of Stationary Distributions. Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings. editor / Sriram Sankaranarayanan ; Natasha Sharygina. Springer, 2023. pp. 489-507 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Bibtex
@inproceedings{cbc639aa8cc44e54b8029b69df328ac1,
title = "Correct Approximation of Stationary Distributions.",
abstract = "A classical problem for Markov chains is determining their stationary (or steady-state) distribution. This problem has an equally classical solution based on eigenvectors and linear equation systems. However, this approach does not scale to large instances, and iterative solutions are desirable. It turns out that a naive approach, as used by current model checkers, may yield completely wrong results. We present a new approach, which utilizes recent advances in partial exploration and mean payoff computation to obtain a correct, converging approximation.",
author = "Tobias Meggendorfer",
year = "2023",
month = apr,
day = "22",
doi = "10.1007/978-3-031-30823-9_25",
language = "English",
isbn = "9783031308222",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "489--507",
editor = "Sriram Sankaranarayanan and Natasha Sharygina",
booktitle = "Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings",
}
RIS
TY - GEN
T1 - Correct Approximation of Stationary Distributions.
AU - Meggendorfer, Tobias
PY - 2023/4/22
Y1 - 2023/4/22
N2 - A classical problem for Markov chains is determining their stationary (or steady-state) distribution. This problem has an equally classical solution based on eigenvectors and linear equation systems. However, this approach does not scale to large instances, and iterative solutions are desirable. It turns out that a naive approach, as used by current model checkers, may yield completely wrong results. We present a new approach, which utilizes recent advances in partial exploration and mean payoff computation to obtain a correct, converging approximation.
AB - A classical problem for Markov chains is determining their stationary (or steady-state) distribution. This problem has an equally classical solution based on eigenvectors and linear equation systems. However, this approach does not scale to large instances, and iterative solutions are desirable. It turns out that a naive approach, as used by current model checkers, may yield completely wrong results. We present a new approach, which utilizes recent advances in partial exploration and mean payoff computation to obtain a correct, converging approximation.
U2 - 10.1007/978-3-031-30823-9_25
DO - 10.1007/978-3-031-30823-9_25
M3 - Conference contribution/Paper
SN - 9783031308222
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 489
EP - 507
BT - Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings
A2 - Sankaranarayanan, Sriram
A2 - Sharygina, Natasha
PB - Springer
ER -
