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Related papers: Time correlations for the parabolic Anderson model

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In [1] a detailed analysis was given of the large-time asymptotics of the total mass of the solution to the parabolic Anderson model on a supercritical Galton-Watson random tree with an i.i.d. random potential whose marginal distribution is…

Probability · Mathematics 2022-09-07 Frank den Hollander , Daoyi Wang

The invariant imbedding evolution equations for the amplitude reflection and transmission coefficients of a disordered 1D chain are shown to follow from the continuum limit, for weak disorder, of recursion relations between reflection…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 J. Heinrichs

In this paper we study the linear stochastic heat equation, also known as parabolic Anderson model, in multidimension driven by a Gaussian noise which is white in time and it has a correlated spatial covariance. Examples of such covariance…

Probability · Mathematics 2016-03-22 Jingyu Huang , Khoa Lê , David Nualart

This work is dedicated to the study of a linear model arising in thermoelastic rod of homogeneous material. The system is resulting from a coupling of a heat and a wave equation in the interval $(0,1)$ with Dirichlet boundary conditions at…

Analysis of PDEs · Mathematics 2024-10-10 Kaïs Ammari , Fathi Hassine , Luc Robbiano

In this paper, we present the asymptotic properties of the moment estimator for autoregressive (AR for short) models subject to Markovian changes in regime under the assumption that the errors are uncorrelated but not necessarily…

Statistics Theory · Mathematics 2025-03-06 Yacouba Boubacar Mainassara , Landy Rabehasaina , Armel Bra

In this paper we prove the existence of asymptotic moments, and an estimate on the tails of the limiting distribution, for a specific class of almost periodic functions. Then we introduce the hyperbolic circle problem, proving an estimate…

Number Theory · Mathematics 2018-11-26 Giacomo Cherubini

Well-posedness of certain semilinear parabolic problems with nonlocal initial conditions is shown in time-weighted spaces. The result is applied to recover the initial states in semilinear parabolic problems with nonlinearities of…

Analysis of PDEs · Mathematics 2024-07-08 Lina Sophie Schmitz , Christoph Walker

We show that the posterior distribution of parameters in a hidden Markov model with parametric emission distributions and discrete and known state space is asymptotically normal. The main novelty of our proof is that it is based on a…

Statistics Theory · Mathematics 2021-06-01 Chunlei Wang , Sanvesh Srivastava

We exhibit some explicit co-adapted couplings for n-dimensional Brownian motion and all its Levy stochastic areas. In the two-dimensional case we show how to derive exact asymptotics for the coupling time under various mixed coupling…

Probability · Mathematics 2010-02-24 Wilfrid S. Kendall

The entanglement entropy distribution of strongly disordered one dimensional spin chains, which are equivalent to spinless fermions at half-filling on a bond (hopping) disordered one-dimensional Anderson model, has been shown to exhibit…

Mesoscale and Nanoscale Physics · Physics 2018-11-20 B. Friedman , R. Berkovits

Partially motivated by the recent papers of Conus, Joseph and Khoshnevisan [Ann. Probab. 41 (2013) 2225-2260] and Conus et al. [Probab. Theory Related Fields 156 (2013) 483-533], this work is concerned with the precise spatial asymptotic…

Probability · Mathematics 2016-03-31 Xia Chen

In this paper we present an application of the use of autocopulas for modelling financial time series showing serial dependencies that are not necessarily linear. The approach presented here is semi-parametric in that it is characterized by…

Risk Management · Quantitative Finance 2015-07-20 Antony Ware , Ilnaz Asadzadeh

The long-time behaviour of solutions of systems of conservation laws has been extensively studied. In particular, Liu and Zeng \cite{liu:1997} have given a detailed exposition of the leading order asymptotics of solutions close to a…

Analysis of PDEs · Mathematics 2007-05-23 G. van Baalen , N. Popovic , C. E. Wayne

We consider the long time asymptotic behavior of a large system of $N$ linear differential equations with random coefficients. We allow for general elliptic correlation structures among the coefficients, thus we substantially generalize our…

Probability · Mathematics 2022-10-18 László Erdős , Torben Krüger , David Renfrew

We study a system of coalescing continuous-time random walks starting from every site on $\mathbb{Z}$, where the jump increments lie in the domain of attraction of an $\alpha$-stable distribution with $\alpha\in(0,1]$. We establish sharp…

Probability · Mathematics 2026-02-02 Jinjiong Yu

It is shown how a natural representation of perpetuities as asymptotically homogeneous in space Markov chains allows to prove various asymptotic tail results for stable perpetuities and limit theorems for unstable ones. Some of these…

Probability · Mathematics 2016-03-29 Dmitry Korshunov

We study the free analogue of the classical affine fixed-point (or perpetuity) equation \[ \mathbb{X} \stackrel{d}{=} \mathbb{A}^{1/2}\mathbb{X}\,\mathbb{A}^{1/2} + \mathbb{B}, \] where $\mathbb{X}$ is assumed to be $*$-free from the pair…

Probability · Mathematics 2025-04-01 Serban Belinschi , Bartosz Kołodziejek , Kamil Szpojankowski

In many time-to-event studies, the event of interest is recurrent. Here, the data for each sample unit corresponds to a series of gap times between the subsequent events. Given a limited follow-up period, the last gap time might be…

Methodology · Statistics 2018-02-28 Nicole Barthel , Candida Geerdens , Claudia Czado , Paul Janssen

We investigate asymptotic properties of least-absolute-deviation or median quantile estimates of the location and scale functions in nonparametric regression models with dependent data from multiple subjects. Under a general dependence…

Statistics Theory · Mathematics 2014-07-07 Zhibiao Zhao , Ying Wei , Dennis K. J. Lin

Recently, neuronal avalanches have been observed to display oscillations, a phenomenon regarded as the co-existence of a scale-free behaviour (the avalanches close to criticality) and scale-dependent dynamics (the oscillations). Ordinary…

Disordered Systems and Neural Networks · Physics 2020-03-09 Johannes Pausch , Rosalba Garcia-Millan , Gunnar Pruessner
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