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A diffusion limit for a class of randomly-growing binary trees
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“so that the expected compression is asymptotically well-approximated by n/log2n”
From A statistical test suite for random and pseudorandom number generators for cryptographic applications (2000) · cites this paper as Aldous and Shields (1988)
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“which implies that a central Hmit theorem holds for the number of words in the Lempel-Ziv compression.”
From A statistical test suite for random and pseudorandom number generators for cryptographic applications (2000) · cites this paper as Aldous and Shields (1988)
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Cites
The Art of Computer Programming
Knuth, D. E. (1968) · Cited by 16,000
Doob, J. L., & Doob, J. L. (1953) · CERN Document Server (European Organization for Nuclear Research) · Cited by 9,053
A universal algorithm for sequential data compression
Ziv, J., & Lempel, A. (1977) · IEEE Transactions on Information Theory · doi:10.1109/tit.1977.1055714 · Cited by 5,456
Ross, S. M. (1982) · Cited by 3,812
The Theory of Stochastic Processes
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324
The Theory of Stochastic Processes III
Gihman, I. I., & Skorohod, A. V. (1979) · Grundlehren der mathematischen Wissenschaften · doi:10.1007/978-1-4615-8065-2 · Cited by 1,184
The Art of Computer Programming, Vol. 2
Knuth, D. E. (1981) · Medical Entomology and Zoology · Cited by 886
Oriented Percolation in Two Dimensions
Durrett, R. T. (1984) · The Annals of Probability · doi:10.1214/aop/1176993140 · Cited by 366
Stopping Times and Tightness. II
Aldous, D. (1989) · The Annals of Probability · doi:10.1214/aop/1176991417 · Cited by 343
Self-citationCoding theorems for individual sequences
Ziv, J. (1978) · IEEE Transactions on Information Theory · doi:10.1109/tit.1978.1055911 · Cited by 181
Research works printed but not linked: 2
- Elliott, R.: Stochastic calculus and its applications. New York: Springer 1982
- Wignarajah, G.: Complexity tests for statistical independence. M.S. thesis, University of Toledo, 1985
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Rukhin, A., Sota, J., Nechvatal, J., Smid, M., Barker, E., Leigh, S., Levenson, M., Vangel, M., Banks, D., Heckert, A., et al. (2000) · doi:10.6028/nist.sp.800-22 · Cited by 1,867
Probability Distributions on Cladograms
Aldous, D. (1996) · The IMA volumes in mathematics and its applications · doi:10.1007/978-1-4612-0719-1_1 · Cited by 216
Self-citationAsymptotic behavior of the Lempel-Ziv parsing scheme and digital search trees
Jacquet, P., & Szpankowski, W. (1995) · Theoretical Computer Science · doi:10.1016/0304-3975(94)00298-w · Cited by 106
Average redundancy rate of the Lempel-Ziv code
Louchard, G., & Szpankowski, W. (1997) · IEEE Transactions on Information Theory · doi:10.1109/18.567640 · Cited by 92
On the entropy of DNA: algorithms and measurements based on memory and rapid convergence
Farach-Colton, M., Noordewier, M. O., Savari, S. A., Shepp, L. A., Wyner, A. J., & Ziv, J. (1995) · doi:10.5555/313651.313662 · Cited by 81
Asymptotic Recurrence and Waiting Times for Stationary Processes
Kontoyiannis, I. (1998) · Journal of Theoretical Probability · doi:10.1023/a:1022610816550 · Cited by 76
Asymptotic properties of data compression and suffix trees
Szpankowski, W. (1993) · IEEE Transactions on Information Theory · doi:10.1109/18.259648 · Cited by 75
Profiles of Random Trees: Limit Theorems for Random Recursive Trees and Binary Search Trees
Fuchs, M., Hwang, H., & Neininger, R. (2006) · Algorithmica · doi:10.1007/s00453-006-0109-5 · Cited by 65
Martingales and Profile of Binary Search Trees
Chauvin, B., Klein, T., Marckert, J., & Rouault, A. (2005) · Electronic Journal of Probability · doi:10.1214/ejp.v10-257 · Cited by 56
Average profile and limiting distribution for a phrase size in the Lempel-Ziv parsing algorithm
Louchard, G., & Szpankowski, W. (1995) · IEEE Transactions on Information Theory · doi:10.1109/18.370149 · Cited by 55
Corrections of the NIST Statistical Test Suite for Randomness
Kim, S.-J., Umeno, K., & Hasegawa, A. (2004) · arXiv · doi:10.48550/arxiv.nlin/0401040 · Cited by 54
Generalized Digital Trees and Their Difference—Differential Equations
Flajolet, P., & Richmond, B. (1992) · Random Structures and Algorithms · doi:10.1002/rsa.3240030309 · Cited by 54
Park, G., Hwang, H., Nicodème, P., & Szpankowski, W. (2009) · SIAM Journal on Computing · doi:10.1137/070685531 · Cited by 49
Data compression and learning in time sequences analysis
Andrea Puglisi, B., Benedetto, D., Caglioti, E., Loreto, V., & Vulpiani, A. (2003) · Physica D Nonlinear Phenomena · doi:10.1016/s0167-2789(03)00047-2 · Cited by 45
Testing Randomness: A Suite of Statistical Procedures
Ruhkin, A. L. (2001) · Theory of Probability and Its Applications · doi:10.1137/s0040585x97978087 · Cited by 43
Digital Search Trees Again Revisited: The Internal Path Length Perspective
Kirschenhofer, P., Prodinger, H., & Szpankowski, W. (1994) · SIAM Journal on Computing · doi:10.1137/s0097539790189368 · Cited by 43
Majumdar, S. N. (2003) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.68.026103 · Cited by 39
Analytic analysis of algorithms
Flajolet, P. (1992) · Lecture notes in computer science · doi:10.1007/3-540-55719-9_74 · Cited by 36
Average Profile of the Lempel-Ziv Parsing Scheme for a Markovian Source
Jacquet, P., Szpankowski, W., & Tang, J. (2001) · Algorithmica · doi:10.1007/s00453-001-0053-3 · Cited by 32
Analytic Pattern Matching: From DNA to Twitter
Jacquet, P., & Szpankowski, W. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9780511843204 · Cited by 31
Asymptotic variance of random symmetric digital search trees
Hwang, H., Fuchs, M., & Zacharovas, V. (2010) · Discrete Mathematics & Theoretical Computer Science · doi:10.46298/dmtcs.498 · Cited by 31
Laws of large numbers and tail inequalities for random tries and PATRICIA trees
Devroye, L. (2002) · Journal of Computational and Applied Mathematics · doi:10.1016/s0377-0427(01)00458-7 · Cited by 28
Diffusion-limited aggregation on a tree
Barlow, M. T., Pemantle, R., & Perkins, E. (1997) · Probability Theory and Related Fields · doi:10.1007/s004400050076 · Cited by 27
Pemantle, R. (1995) · Statistical Science · doi:10.1214/ss/1177010038 · Cited by 24
Universal Asymptotics for Random Tries and PATRICIA Trees
Devroye, L. (2005) · Algorithmica · doi:10.1007/s00453-004-1137-7 · Cited by 24
Knessl, C., & Szpankowski, W. (2000) · SIAM Journal on Computing · doi:10.1137/s0097539799356812 · Cited by 23
Domination Between Trees and Application to an Explosion Problem
Pemantle, R., & Peres, Y. (1994) · The Annals of Probability · doi:10.1214/aop/1176988855 · Cited by 21
A note on the probabilistic analysis of patricia trees
Devroye, L. (1992) · Random Structures and Algorithms · doi:10.1002/rsa.3240030209 · Cited by 21
Bimodality and Phase Transitions in the Profile Variance of Random Binary Search Trees
Drmota, M., & Hwang, H. (2005) · SIAM Journal on Discrete Mathematics · doi:10.1137/s0895480104440134 · Cited by 21
Average Profile of the Generalized Digital Search Tree and the Generalized Lempel--Ziv Algorithm
Louchard, G., Szpankowski, W., & Tang, J. (1998) · SIAM Journal on Computing · doi:10.1137/s0097539796301811 · Cited by 21
How many random questions are necessary to identify n distinct objects?
Pittel, B. G., & Rubin, H. (1990) · Journal of Combinatorial Theory Series A · doi:10.1016/0097-3165(90)90072-5 · Cited by 17
Testing randomness: a suite of statistical procedures
Rukhin, A. L., & Rukhin, A. L. (2000) · Теория вероятностей и ее применения · doi:10.4213/tvp328 · Cited by 15
Devroye, L. (2001) · Random Structures and Algorithms · doi:10.1002/rsa.10006 · Cited by 13
Stochastic explosion and non-uniqueness for α-Riccati equation
Dascaliuc, R., Thomann, E., & Waymire, E. C. (2018) · Journal of Mathematical Analysis and Applications · doi:10.1016/j.jmaa.2018.11.064 · Cited by 12
Park, G., Hwang, H., Nicodème, P., & Szpankowski, W. (2008) · Springer eBooks · doi:10.1007/978-3-540-78773-0_1 · Cited by 11
Connecting Yule Process, Bisection and Binary Search Tree via MartingalesPreprint
Chauvin, B., & Rouault, A. (2004) · arXiv (Cornell University) · doi:10.48550/arxiv.math/0410318 · Cited by 11
Generalized Lempel-Ziv parsing scheme and its preliminary analysis of the average profile
Louchard, G., & Szpankowski, W. (2002) · DCC · doi:10.1109/dcc.1995.515516 · Cited by 9
Phase Transition in a Generalized Eden Growth Model on a Tree
Dean, D. S., & Majumdar, S. N. (2006) · Journal of Statistical Physics · doi:10.1007/s10955-006-9193-9 · Cited by 8
Almost sure asymptotics for the random binary search tree
Roberts, M. I. (2010) · Discrete Mathematics & Theoretical Computer Science · doi:10.46298/dmtcs.2775 · Cited by 8
A functional limit theorem for the profile of b-ary trees
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The variance of the height of digital search trees
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Limiting distribution of Lempel Ziv'78 redundancy
Jacquet, P., & Szpankowski, W. (2011) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit.2011.6033794 · Cited by 6
Doubly stochastic Yule cascades (Part I): The explosion problem in the time-reversible case
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A Central Limit Theorem for Non-Overlapping Return Times
Johnson, O. (2006) · Journal of Applied Probability · doi:10.1017/s0021900200001340 · Cited by 5
Behavior near the extinction time in self-similar fragmentations II: Finite dislocation measures
Goldschmidt, C., & Haas, B. (2016) · The Annals of Probability · doi:10.1214/14-aop988 · Cited by 5
Doubly stochastic Yule cascades (part II): The explosion problem in the non-reversible case
Dascaliuc, R., Pham, T. N., Thomann, E., & Waymire, E. C. (2023) · Annales de l Institut Henri Poincaré Probabilités et Statistiques · doi:10.1214/22-aihp1316 · Cited by 4
On the Limiting Distribution of Lempel-Ziv’78 Redundancy for Memoryless Sources
Jacquet, P., & Szpankowski, W. (2014) · IEEE Transactions on Information Theory · doi:10.1109/tit.2014.2358679 · Cited by 4
Selection of a Metric for the Nearest Neighbor Entropy Estimators
Тимофеев, Е. А. (2014) · Journal of Mathematical Sciences · doi:10.1007/s10958-014-2181-8 · Cited by 3
Nearest-neighbor entropy estimators with weak metrics
Тимофеев, Е. А., & Kaltchenko, A. (2014) · Advances in Mathematics of Communications · doi:10.3934/amc.2014.8.119 · Cited by 3
A hooray for Poisson approximation
Grübel, R. (2005) · Discrete Mathematics & Theoretical Computer Science · doi:10.46298/dmtcs.3357 · Cited by 3
Compression based homogeneity testing
Malyutov, M. B. (2012) · Doklady Mathematics · doi:10.1134/s1064562412020251 · Cited by 3
The Aldous-Shields model revisited with application to cellular ageing
Best, K., & Pfaffelhuber, P. (2010) · Electronic Communications in Probability · doi:10.1214/ecp.v15-1581 · Cited by 3
Continuous-time digital search tree and a border aggregation model
Janson, S., & Thacker, D. (2022) · Bernoulli · doi:10.3150/21-bej1429 · Cited by 2
Digital search trees and chaos game representation
Cénac, P., Chauvin, B., Ginouillac, S., & Pouyanne, N. (2008) · ESAIM Probability and Statistics · doi:10.1051/ps:2007043 · Cited by 2
A Markovian Growth Dynamics on Rooted Binary Trees Evolving According to the Gompertz Curve
Landim, C., Portugal, R. D., & Svaiter, B. F. (2012) · Journal of Statistical Physics · doi:10.1007/s10955-012-0549-z · Cited by 2
A functional equation often arising in the analysis of algorithms (extended abstract)
Jacquet, P., & Szpankowski, W. (1994) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/195058.195456 · Cited by 2
Growing binary trees in a random environment
Kessler, I., & Sidi, M. (1993) · IEEE Transactions on Information Theory · doi:10.1109/18.179356 · Cited by 2
Height in a digital search tree and the longest phrase of the Lempel-Ziv scheme
Knessl, C., & Szpankowski, W. (2000) · Symposium on Discrete Algorithms · doi:10.5555/338219.338251 · Cited by 2
Analysis of Lempel-Ziv'78 for Markov Sources
Jacquet, P., & Szpankowski, W. (2020) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/lipics.aofa.2020.15 · Cited by 1
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Flajolet, P. (2001) · Random Structures and Algorithms · doi:10.1002/rsa.10022 · Cited by 1
Growing binary trees in a random environment
Kessler, I., & Sidi, M. (1991) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.1991.147565 · Cited by 1
Discs and other related data structures
Luccio, F., Régnier, M., & Schott, R. (1989) · Lecture notes in computer science · doi:10.1007/3-540-51542-9_17 · Cited by 1
The height of symmetric digital search trees: two-point concentration and the law of the heightPreprint
Na, S. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.23132297 · Cited by 1
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Na, S. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.23138274 · Cited by 1
Asymptotic behavior of the Lempel-Ziv parsing scheme and digital trees
Jacquet, P., & Szpankowski, W. (2002) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit.1995.531116
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Malyutov, M. B., & Cunningham, G. (2010) · IEEE Region International Conference on Computational Technologies in Electrical and Electronics Engineering · doi:10.1109/sibircon.2010.5555303
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Ryabko, B. Y., Astola, J. T., & Malyutov, M. B. (2016) · Springer eBooks · doi:10.1007/978-3-319-32253-7_3
Szpankowski, W. (2001) · Wiley eBooks · doi:10.1002/9781118032770.biblio
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Bhattacharya, R. N., & Waymire, E. C. (2023) · Graduate texts in mathematics · doi:10.1007/978-3-031-33296-8_4
Metadata
- Authors
- Aldous, D., & Shields, P.
- Affiliations
- University of California, Berkeley (US)
- University of Toledo (US)
- ORCID
- Aldous, David
- Venue
- Probability Theory and Related Fields
- Published
- 1988-11
- Volume
- 79
- Issue
- 4
- Pages
- 509-542
- ISSN
- 0178-8051 (ISSN-L)
- 1432-2064
- OpenAlex
- W2052638374
- Cited by
- 78
- References
- 21
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 2 · 2022: 2 · 2020: 2 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 1 · 2014: 3 · 2012: 2
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Locations
- Probability Theory and Related Fields (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Science Foundation
- Magyar Tudományos Akadémia
- Topics
- Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Mathematical Physics › Mathematical Dynamics and Fractals
- Keywords
- random binary trees, diffusion limit, strong law of large numbers, central limit theorem, tree height distribution, asymptotic normality, entropy estimation, maximum tree height
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