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We derive a complete left-tail asymptotic series for the density of the {\it martingale limit} of a Galton-Watson process with immigration. We show that the series converges everywhere, not only for small arguments. This is the first…

Probability · Mathematics 2025-06-05 Anton A Kutsenko

The dissipation of general convex entropies for continuous time Markov processes can be described in terms of backward martingales with respect to the tail filtration. The relative entropy is the expected value of a backward submartingale.…

Probability · Mathematics 2015-01-27 Joaquin Fontbona , Benjamin Jourdain

Bootstrap percolation is a cellular automaton modelling the spread of an `infection' on a graph. In this note, we prove a family of lower bounds on the critical probability for $r$-neighbour bootstrap percolation on Galton--Watson trees in…

Probability · Mathematics 2014-02-19 Karen Gunderson , Michał Przykucki

We study properties of the harmonic measure of balls in large critical Galton-Watson trees whose offspring distribution is in the domain of attraction of a stable distribution with index $\alpha\in (1,2]$. Here the harmonic measure refers…

Probability · Mathematics 2014-05-08 Shen Lin

In this paper we consider random walks on Galton-Watson trees with random conductances. On these trees, the distance of the walker to the root satisfies a law of large numbers with limit the effective velocity, or speed of the walk. We…

Probability · Mathematics 2020-11-23 Tabea Glatzel , Jan Nagel

We compute exact values respectively bounds of "distances" - in the sense of (transforms of) power divergences and relative entropy - between two discrete-time Galton-Watson branching processes with immigration GWI for which the offspring…

Probability · Mathematics 2022-10-21 Niels B. Kammerer , Wolfgang Stummer

We give an explicit formula for the most likely path to extinction for the Galton-Watson processes with large initial population. We establish this result with the help of the large deviation principle (LDP) which also recovers the…

Probability · Mathematics 2007-05-23 F. Klebaner , R. Liptser

A multitype Dawson-Watanabe process is conditioned, in subcritical and critical cases, on non-extinction in the remote future. On every finite time interval, its distribution is absolutely continuous with respect to the law of the…

Probability · Mathematics 2011-12-05 Nicolas Champagnat , Sylvie Roelly

Conditioning a multitype Galton-Watson process to stay alive into the indefinite future leads to what is known as its associated $Q$-process. We show that the same holds true if the process is conditioned to reach a positive threshold or a…

Probability · Mathematics 2016-03-09 Sophie Pénisson

Consider a rooted infinite Galton-Watson tree with mean offspring number $m>1$, and a collection of i.i.d. positive random variables $\xi_e$ indexed by all the edges in the tree. We assign the resistance $m^d \xi_e$ to each edge $e$ at…

Probability · Mathematics 2018-05-21 Dayue Chen , Yueyun Hu , Shen Lin

Using the recently discovered strong negative dependence properties of the symmetric exclusion process, we derive general conditions for when the normalized current of particles between regions converges to the Gaussian distribution. The…

Probability · Mathematics 2010-09-27 Alexander Vandenberg-Rodes

A class of branching processes in varying environments is exhibited which become extinct almost surely even though the means M_n grow fast enough so that sum M_n^{-1} is finite. In fact, such a process is constructed for every offspring…

Probability · Mathematics 2007-05-23 Robin Pemantle

We study the maximal degree of (sub)critical L{\'e}vy trees which arise as the scaling limits of Bienaym{\'e}-Galton-Watson trees. We determine the genealogical structure of large nodes and establish a Poissonian decomposition of the tree…

Probability · Mathematics 2022-11-07 Romain Abraham , Jean-François Delmas , Michel Nassif

The variational lower bound (a.k.a. ELBO or free energy) is the central objective for many established as well as for many novel algorithms for unsupervised learning. Such algorithms usually increase the bound until parameters have…

Machine Learning · Statistics 2024-12-25 Jörg Lücke , Jan Warnken

We are interested in the biased random walk on a supercritical Galton--Watson tree in the sense of Lyons, Pemantle and Peres, and study a phenomenon of slow movement. In order to observe such a slow movement, the bias needs to be random;…

Probability · Mathematics 2015-03-13 Gabriel Faraud , Yueyun Hu , Zhan Shi

In this somewhat didactic note we give a detailed alternative proof of the known result due to Wei and Winnicki (1989) which states that under second order moment assumptions on the offspring and immigration distributions the sequence of…

Probability · Mathematics 2022-07-11 Matyas Barczy , Dániel Bezdány , Gyula Pap

Drmota and Gittenberger (1997) proved a conjecture due to Aldous (1991) on the height profile of a Galton-Watson tree with an offspring distribution of finite variance, conditioned on a total size of $n$ individuals. The conjecture states…

Probability · Mathematics 2011-01-20 Götz Kersting

In this paper we consider inhomogeneous Galton-Watson trees, and derive various moments for such processes: the number of vertices, the number of leaves, and the height of the tree. Also we make a simple condition of finiteness. We use…

Applications · Statistics 2025-05-09 Jakob G. Rasmussen , Troels Pedersen , Rasmus L. Olsen

Let $W_n, n\in\mn_{0}$ be an intrinsic martingale with almost sure limit $W$ in a supercritical branching random walk. We provide criteria for the $L_p$-convergence of the series $\sum_{n\ge 0} e^{an}(W-W_n)$ for $p>1$ and $a>0$. The result…

Probability · Mathematics 2009-03-24 Gerold Alsmeyer , Alex Iksanov , Sergej Polotsky , Uwe Roesler

We explore the survival function for percolation on Galton-Watson trees. Letting $g(T,p)$ represent the probability a tree $T$ survives Bernoulli percolation with parameter $p$, we establish several results about the behavior of the random…

Probability · Mathematics 2018-11-20 Marcus Michelen , Robin Pemantle , Josh Rosenberg
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