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 $L^{2}$ 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 $1/\sqrt{2}$, 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.Comment: 14 pages. arXiv a...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
In this article, a general central limit theorem for a triangular array of m-dependent random varia...
Let X-0,X-1,... be a geometrically ergodic Markov chain with state space X and stationary distributi...
International audienceBifurcating Markov chains (BMC) are Markov chains indexed by a full binary tre...
Bifurcating Markov chains (BMC) are Markov chains indexed by a full binary tree representing the evo...
Bifurcating Markov chains (BMC) are Markov chains indexed by a full binary tree representing the evo...
International audienceBifurcating Markov chains (BMCs) are Markov chains indexed by a full binary tr...
Bifurcating Markov chains (BMC) are Markov chains indexed by a full binary tree representing the evo...
The main purpose of this article is to establish moderate deviation principles for additive function...
International audienceThe main purpose of this article is to establish moderate deviation principles...
Let (Xn) be a Markov chain on measurable space with unique stationary distribution [pi]. Let be a me...
AbstractA simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodi...
A simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodic Markov...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
In this article, a general central limit theorem for a triangular array of m-dependent random varia...
Let X-0,X-1,... be a geometrically ergodic Markov chain with state space X and stationary distributi...
International audienceBifurcating Markov chains (BMC) are Markov chains indexed by a full binary tre...
Bifurcating Markov chains (BMC) are Markov chains indexed by a full binary tree representing the evo...
Bifurcating Markov chains (BMC) are Markov chains indexed by a full binary tree representing the evo...
International audienceBifurcating Markov chains (BMCs) are Markov chains indexed by a full binary tr...
Bifurcating Markov chains (BMC) are Markov chains indexed by a full binary tree representing the evo...
The main purpose of this article is to establish moderate deviation principles for additive function...
International audienceThe main purpose of this article is to establish moderate deviation principles...
Let (Xn) be a Markov chain on measurable space with unique stationary distribution [pi]. Let be a me...
AbstractA simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodi...
A simple sufficient condition for the Central Limit Theorem for functionals of Harris ergodic Markov...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
In this article, a general central limit theorem for a triangular array of m-dependent random varia...
Let X-0,X-1,... be a geometrically ergodic Markov chain with state space X and stationary distributi...