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We consider the precise upper large deviations estimates for the maximal displacement of a branching random walk. In addition, we obtain a description of the extremal process of the branching random walk conditioned on this large deviations…

Probability · Mathematics 2025-02-04 Lianghui Luo

In this paper, we present a flexible and probabilistic framework for tracking topological features in time-varying scalar fields using merge trees and partial optimal transport. Merge trees are topological descriptors that record the…

Computational Geometry · Computer Science 2025-08-26 Mingzhe Li , Xinyuan Yan , Lin Yan , Tom Needham , Bei Wang

A symmetric relation in the probabilistic Green's function for birth-death chains is explored. Two proofs are given, each of which makes use of the known symmetry of the Green's functions in other contexts. The first uses as primary tool…

Probability · Mathematics 2016-02-22 Greg Markowsky , José Luis Palacios

This paper is a step in the direction of understanding the behavior of non-intersecting Brownian motions on the real line, when the number of particles becomes large. Consider 2k non-intersecting Brownian motions, all starting at the…

Probability · Mathematics 2007-05-23 Mark Adler , Pierre van Moerbeke

Brownian motion whose infinitesimal variance changes according to a three-state continuous time Markov Chain is studied. This Markov Chain can be viewed as a telegraph process with one on state and two off states. We first derive the…

Methodology · Statistics 2020-08-25 Vladimir Pozdnyakov , L. Mark Elbroch , Chaoran Hu , Thomas Meyer , Jun Yan

We establish connections between invariant theory and maximum likelihood estimation for discrete statistical models. We show that norm minimization over a torus orbit is equivalent to maximum likelihood estimation in log-linear models. We…

Statistics Theory · Mathematics 2021-12-15 Carlos Améndola , Kathlén Kohn , Philipp Reichenbach , Anna Seigal

Poly-trees are singly connected causal networks in which variables may arise from multiple causes. This paper develops a method of recovering ply-trees from empirically measured probability distributions of pairs of variables. The method…

Artificial Intelligence · Computer Science 2013-04-11 George Rebane , Judea Pearl

In this paper, we investigate two-sided bounds for the small ball probability of a mixed fractional Brownian motion with a general deterministic trend function, in terms of respective small ball probability of a mixed fractional Brownian…

Probability · Mathematics 2018-06-14 Anne MacKay , Alexander Melnikov , Yuliya Mishura

We give a thorough description of the asymptotic property of the maximum likelihood estimator (MLE) of the skewness parameter of a Skew Brownian Motion (SBM). Thanks to recent results on the Central Limit Theorem of the rate of convergence…

Statistics Theory · Mathematics 2023-02-07 Antoine Lejay , Sara Mazzonetto

We consider finite collections of $N$ non-intersecting Brownian paths on the line and on the half-line with both absorbing and reflecting boundary conditions (corresponding to Brownian excursions and reflected Brownian motions) and compute…

Probability · Mathematics 2020-10-15 Gia Bao Nguyen , Daniel Remenik

We provide a uniform upper bound on the minimal drift so that the one-per-site frog model on a $d$-ary tree is recurrent. To do this, we introduce a subprocess that couples across trees with different degrees. Finding couplings for frog…

Probability · Mathematics 2018-08-13 Erin Beckman , Natalie Frank , Yufeng Jiang , Matthew Junge , Si Tang

The value of a continuous character evolving on a phylogenetic tree is commonly modelled as the location of a particle moving under one-dimensional Brownian motion with constant rate. The Brownian motion model is best suited to characters…

Populations and Evolution · Quantitative Biology 2013-02-21 Michael G. Elliot , Arne O. Mooers

Applying a method to reconstruct a phylogenetic tree from random data provides a way to detect whether that method has an inherent bias towards certain tree `shapes'. For maximum parsimony, applied to a sequence of random 2-state data, each…

Populations and Evolution · Quantitative Biology 2014-06-03 Mareike Fischer , Michelle Galla , Lina Herbst , Mike Steel

Query evaluation in monadic second-order logic (MSO) is tractable on trees and treelike instances, even though it is hard for arbitrary instances. This tractability result has been extended to several tasks related to query evaluation, such…

Databases · Computer Science 2016-07-19 Antoine Amarilli , Pierre Bourhis , Pierre Senellart

Based on an optimal rate wavelet series representation, we derive a local modulus of continuity result with a refined almost sure upper bound for fractional Brownian motion. \sloppy The obtained upper bound of the small fractional Brownian…

Probability · Mathematics 2023-10-20 Qidi Peng , Nan Rao

We study the statistics of near-extreme events of Brownian motion (BM) on the time interval [0,t]. We focus on the density of states (DOS) near the maximum \rho(r,t) which is the amount of time spent by the process at a distance r from the…

Statistical Mechanics · Physics 2013-12-16 Anthony Perret , Alain Comtet , Satya N. Majumdar , Gregory Schehr

The present work concerns the finite-time ruin probabilities for several bidimensional risk models with constant interest force and correlated Brownian motions.} Under the condition that the two Brownian motions $\{B_1(t), t\ge 0\}$ and…

Probability · Mathematics 2023-06-29 Dan Zhu , Ming Zhou , Chuancun Yin

We study the problem of optimal approximation of a fractional Brownian motion by martingales. We prove that there exist a unique martingale closest to fractional Brownian motion in a specific sense. It shown that this martingale has a…

Probability · Mathematics 2012-12-13 Sergiy Shklyar , Georgiy Shevchenko , Yuliya Mishura , Vadym Doroshenko , Oksana Banna

We show that if a strictly positive joint probability distribution for a set of binary random variables factors according to a tree, then vertex separation represents all and only the independence relations enclosed in the distribution. The…

Artificial Intelligence · Computer Science 2013-01-18 Ann Becker , Dan Geiger , Christopher Meek

Maximum likelihood estimation is a fundamental computational problem in statistics. In this note, we give a bound for the maximum likelihood degree of algebraic statistical models for discrete data. As usual, such models are identified with…

Algebraic Geometry · Mathematics 2015-04-20 Nero Budur , Botong Wang