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Analysis of Statistics for Generalized Stirling Permutations
| Content Provider | Scilit |
|---|---|
| Author | Kuba, Markus Panholzer, Alois |
| Copyright Year | 2011 |
| Description | In this work we give a study of generalizations of Stirling permutations, a restricted class of permutations of multisets introduced by Gessel and Stanley [15]. First we give several bijections between such generalized Stirling permutations and various families of increasing trees extending the known correspondences of [20, 21]. Then we consider several permutation statistics of interest for generalized Stirling permutations as the number of left-to-right minima, the number of left-to-right maxima, the number of blocks of specified sizes, the distance between occurrences of elements, and the number of inversions. For all these quantities we give a distributional study, where the established connections to increasing trees turn out to be very useful. To obtain the exact and limiting distribution results we use several techniques ranging from generating functions, connections to urn models, martingales and Stein's method. |
| Related Links | http://www.dmg.tuwien.ac.at/kuba/preprintStirblock.pdf https://www.cambridge.org/core/services/aop-cambridge-core/content/view/488A8224069AE788ADDD620CE809EC55/S0963548311000381a.pdf/div-class-title-analysis-of-statistics-for-generalized-stirling-permutations-div.pdf |
| Ending Page | 910 |
| Page Count | 36 |
| Starting Page | 875 |
| ISSN | 09635483 |
| e-ISSN | 14692163 |
| DOI | 10.1017/s0963548311000381 |
| Journal | Combinatorics, Probability and Computing |
| Issue Number | 6 |
| Volume Number | 20 |
| Language | English |
| Publisher | Cambridge University Press (CUP) |
| Publisher Date | 2011-11-01 |
| Access Restriction | Open |
| Subject Keyword | Combinatorics, Probability and Computing Artificial Intelligence Generalized Stirling Permutations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Statistics and Probability Theoretical Computer Science Computational Theory and Mathematics |