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Central limit theorem for bifurcating Markov chains: the mother-daughters triangles case

Probability 2022-07-04 v1

Abstract

The main objective of this article is to establish a central limit theorem for additive three-variable functionals of bifurcating Markov chains. We thus extend the central limit theorem under point-wise ergodic conditions studied in Bitseki-Delmas (2022) and to a lesser extent, the results of Bitseki-Delmas (2022) on central limit theorem under L2L^{2} ergodic conditions. Our results also extend and complement those of Guyon (2007) and Delmas and Marsalle (2010). In particular, when the ergodic rate of convergence is greater than 1/21/\sqrt{2}, we have, for certain class of functions, that the asymptotic variance is non-zero at a speed faster than the usual central limit theorem studied by Guyon and Delmas-Marsalle.

Keywords

Cite

@article{arxiv.2207.00087,
  title  = {Central limit theorem for bifurcating Markov chains: the mother-daughters triangles case},
  author = {S. Valère Bitseki Penda},
  journal= {arXiv preprint arXiv:2207.00087},
  year   = {2022}
}

Comments

14 pages. arXiv admin note: text overlap with arXiv:2012.04741

R2 v1 2026-06-24T12:10:25.883Z