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Geometry of networks endowed with a causal structure is discussed using the conventional framework of equilibrium statistical mechanics. The popular growing network models appear as particular causal models. We focus on a class of tree…

统计力学 · 物理学 2009-11-07 P. Bialas , Z. Burda , J. Jurkiewicz , A. Krzywicki

A stochastic forest model of young and old age class trees is studied. First, we prove existence, uniqueness and boundedness of global nonnegative solutions. Second, we investigate asymptotic behavior of solutions by giving a sufficient…

概率论 · 数学 2016-11-15 Ton Viet Ta , Linh Thi Hoai Nguyen , Atsushi Yagi

We propose methods to improve the forecasts from generalized autoregressive score (GAS) models (Creal et. al, 2013; Harvey, 2013) by localizing their parameters using decision trees and random forests. These methods avoid the curse of…

计量经济学 · 经济学 2023-05-31 Andrew J. Patton , Yasin Simsek

The Drossel-Schwabl model of forest fires can be interpreted in a coarse grained sense as a model for the stress distribution in a single planar fault. Fires in the model are then translated to earthquakes. I show that when a second class…

统计力学 · 物理学 2015-06-15 E. A. Jagla

Quantifying long-term historical climate is fundamental to understanding recent climate change. Most instrumentally recorded climate data are only available for the past 200 years, so proxy observations from natural archives are often…

Generative neural networks learn how to produce highly realistic images from a large, but finite number of examples - or do they simply memorise their training set? To settle this question, Kadkhodaie, Guth, Simoncelli and Mallat (ICLR '24)…

机器学习 · 统计学 2026-05-21 Antoine Maillard , Sebastian Goldt

Chimney fires constitute one of the most commonly occurring fire types. Precise prediction and prompt prevention are crucial in reducing the harm they cause. In this paper, we develop a combined machine learning and statistical modeling…

统计方法学 · 统计学 2021-12-15 C. Lu , M. N. M. van Lieshout , M. de Graaf , P. Visscher

We investigate the scaling behavior of the cluster size distribution in the Drossel-Schwabl Forest Fire model (DS-FFM) by means of large scale numerical simulations, partly on (massively) parallel machines. It turns out that simple scaling…

统计力学 · 物理学 2009-11-07 Gunnar Pruessner , Henrik Jeldtoft Jensen

Wildfires are among the most severe disturbances affecting forest ecosystems, with over 50,000 hectares burned in Patagonia, Argentina, during 2025 alone. This study implements a Reaction-Diffusion-Convection (RDC) model to simulate…

无序系统与神经网络 · 物理学 2026-05-04 Lucas Becerra , Monica Malen Denham , Alejandro B. Kolton , Karina Laneri

Wildland fire smoke contains hazardous levels of fine particulate matter PM2.5, a pollutant shown to adversely effect health. Estimating fire attributable PM2.5 concentrations is key to quantifying the impact on air quality and subsequent…

统计方法学 · 统计学 2020-03-16 Alexandra Larsen , Shu Yang , Brian J. Reich , Ana G. Rappold

Building fires pose a persistent threat to life, property, and infrastructure, emphasizing the need for advanced risk mitigation strategies. This study presents a data-driven framework analyzing U.S. fire risks by integrating over one…

机器学习 · 计算机科学 2025-04-01 Chenzhi Ma , Hongru Du , Shengzhi Luan , Ensheng Dong , Lauren M. Gardner , Thomas Gernay

We study the following growth model on a regular d-ary tree. Points at distance n adjacent to the existing subtree are added with probabilities proportional to alpha^{-n}, where alpha<1 is a positive real parameter. The heights of these…

概率论 · 数学 2007-05-23 MArtin T. Barlow , Robin Pemantle , Edwin A. Perkins

We address a visibility problem posed by Solomon & Weiss. More precisely, in any dimension $n := d + 1 \ge 2$, we construct a forest $\F$ with finite density satisfying the following condition : if $\e > 0$ denotes the radius common to all…

数论 · 数学 2015-09-29 Faustin Adiceam

We study a worst-case scenario in generalization: Out-of-domain generalization from a single source. The goal is to learn a robust model from a single source and expect it to generalize over many unknown distributions. This challenging…

计算机视觉与模式识别 · 计算机科学 2021-03-16 Fengchun Qiao , Xi Peng

By measuring or calculating coalescence times for several models of coalescence or evolution, with and without selection, we show that the ratios of these coalescence times become universal in the large size limit and we identify a few…

无序系统与神经网络 · 物理学 2009-11-13 Eric Brunet , Bernard Derrida , Damien Simon

In the last decade, wildfires have become wider and more destructive. The climate change and the growth of urban areas may further increase the probability of incidence of large-scale fires. The risk of fire can be lowered with preventive…

组合数学 · 数学 2021-03-19 Marc Demange , Alessia Di Fonso , Gabriele Di Stefano , Pierpaolo Vittorini

Tree-level Feynman diagrams in a cubic scalar theory can be given a metric such that each edge has a length. The space of metric trees is made out of orthants joined where a tree degenerates. Here we restrict to planar trees since each…

高能物理 - 理论 · 物理学 2020-12-30 Francisco Borges , Freddy Cachazo

The first-order theory of finite and infinite trees has been studied since the eighties, especially by the logic programming community. Following Djelloul, Dao and Fr\"uhwirth, we consider an extension of this theory with an additional…

计算机科学中的逻辑 · 计算机科学 2020-08-10 Fabian Zaiser , C. -H. Luke Ong

Computational simulations of wildfire spread typically employ empirical rate-of-spread calculations under various conditions (such as terrain, fuel type, weather). Small perturbations in conditions can often lead to significant changes in…

机器学习 · 计算机科学 2025-01-14 Andrew Bolt , Carolyn Huston , Petra Kuhnert , Joel Janek Dabrowski , James Hilton , Conrad Sanderson

Forest fires are among the most dangerous and unpredictable natural disasters worldwide. Forest fire can be instigated by natural causes or by humans. They are devastating overall, and thus, many research efforts have been carried out to…

神经与进化计算 · 计算机科学 2025-10-31 Kunal Kumar Pant , Remya Ajai A S , Nithin Nagaraj
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