On martingale tail sums for the path length in random trees1. Issue 3 (6th September 2016)
- Record Type:
- Journal Article
- Title:
- On martingale tail sums for the path length in random trees1. Issue 3 (6th September 2016)
- Main Title:
- On martingale tail sums for the path length in random trees1
- Authors:
- Sulzbach, Henning
- Abstract:
- Abstract: For a martingale ( X n ) converging almost surely to a random variable X, the sequence ( X n – X ) is called martingale tail sum. Recently, Neininger ( Random Structures Algorithms 46 (2015), 346–361) proved a central limit theorem for the martingale tail sum of Régnier's martingale for the path length in random binary search trees. Grübel and Kabluchko (in press) gave an alternative proof also conjecturing a corresponding law of the iterated logarithm. We prove the central limit theorem with convergence of higher moments and the law of the iterated logarithm for a family of trees containing binary search trees, recursive trees and plane‐oriented recursive trees. © 2016 Wiley Periodicals, Inc. Random Struct. Alg., 50, 493–508, 2017
- Is Part Of:
- Random structures & algorithms. Volume 50:Issue 3(2017)
- Journal:
- Random structures & algorithms
- Issue:
- Volume 50:Issue 3(2017)
- Issue Display:
- Volume 50, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 50
- Issue:
- 3
- Issue Sort Value:
- 2017-0050-0003-0000
- Page Start:
- 493
- Page End:
- 508
- Publication Date:
- 2016-09-06
- Subjects:
- Martingale central limit theorems -- law of the iterated logarithm -- random trees
Random graphs -- Periodicals
Mathematical analysis -- Periodicals
519 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1098-2418 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/rsa.20674 ↗
- Languages:
- English
- ISSNs:
- 1042-9832
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7254.411950
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 964.xml