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Published in 2017 at "Metrika"
DOI: 10.1007/s00184-017-0621-4
Abstract: We establish strong large deviation results for an arbitrary sequence of random vectors under some assumptions on the normalized cumulant generating function. In other words, we give asymptotic approximations for a multivariate tail probability of…
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Keywords:
strong large;
large deviation;
deviation results;
multidimensional strong ... See more keywords
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1
Published in 2017 at "Communications in Mathematical Physics"
DOI: 10.1007/s00220-018-3180-2
Abstract: We study the coarsening model (zero-temperature Ising Glauber dynamics) on $${\mathbb{Z}^{d}}$$Zd (for $${d \geq 2}$$d≥2) with an asymmetric tie-breaking rule. This is a Markov process on the state space $${\{-1,+1\}^{{\mathbb{Z}}^d}}$${-1,+1}Zd of “spin configurations” in which…
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Keywords:
coarsening model;
mathbb;
exponential large;
large deviation ... See more keywords
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3
Published in 2022 at "Communications in Mathematical Physics"
DOI: 10.1007/s00220-022-04312-1
Abstract: Using the weak convergence approach to large deviations, we formulate and prove the large deviation principle (LDP) for W-random graphs in the cut-norm topology. This generalizes the LDP for Erdős-R{\' e}nyi random graphs by Chatterjee…
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Keywords:
principle;
dynamical systems;
large deviation;
random graphs ... See more keywords
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Published in 2017 at "Journal of Statistical Physics"
DOI: 10.1007/s10955-017-1935-3
Abstract: We investigate the density large deviation function for a multidimensional conservation law in the vanishing viscosity limit, when the probability concentrates on weak solutions of a hyperbolic conservation law. When the mobility and diffusivity matrices…
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Keywords:
conservation;
density;
density large;
large deviation ... See more keywords
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Published in 2017 at "TEST"
DOI: 10.1007/s11749-016-0509-z
Abstract: In this paper, we investigate the least squares (LS) estimator of the nonlinear regression model based on the extended negatively dependent errors which are widely dependent structures. Under the general conditions, we establish some large…
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Keywords:
regression;
deviation results;
regression model;
large deviation ... See more keywords
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0
Published in 2020 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2020.124110
Abstract: Abstract In this paper, we obtain the large deviation principle for random variables in sublinear expectation spaces taking values in R d , which do not have to satisfy the independent identical distributed condition. We…
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Keywords:
random variables;
variables sublinear;
deviation principle;
random ... See more keywords
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Published in 2019 at "Chaos"
DOI: 10.1063/1.5084025
Abstract: An overview of rare event algorithms based on large deviation theory (LDT) is presented. It covers a range of numerical schemes to compute the large deviation minimizer in various setups and discusses best practices, common…
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Keywords:
deviation;
numerical computation;
computation rare;
deviation theory ... See more keywords
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Published in 2020 at "New Journal of Physics"
DOI: 10.1088/1367-2630/abd50e
Abstract: Extensive time-series encoding the position of particles such as viruses, vesicles, or individual proteins are routinely garnered in single-particle tracking experiments or supercomputing studies. They contain vital clues on how viruses spread or drugs may…
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Keywords:
time series;
deviation statistics;
time;
large deviation ... See more keywords
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Published in 2020 at "Transactions of the American Mathematical Society"
DOI: 10.1090/tran/8039
Abstract: In this paper, we establish a large deviation principle for pairs of continuous and purely discontinuous additive functionals of symmetric Borel right processes on Lusin spaces. We also establish compact embedding results for the extended…
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Keywords:
large deviation;
additive functionals;
functionals symmetric;
markov processes ... See more keywords
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Published in 2022 at "International Mathematics Research Notices"
DOI: 10.1093/imrn/rnad096
Abstract: We derive a large deviation principle for random permutations induced by probability measures of the unit square, called permutons. These permutations are called $\mu $-random permutations. We also introduce and study a new general class…
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Keywords:
large deviation;
deviation principle;
random permutations;
principle random ... See more keywords
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Published in 2020 at "Physical Review B"
DOI: 10.1103/physrevb.102.174418
Abstract: The authors determine the Lee-Yang zeros of an Ising spin lattice in one, two, and three dimensions from the thermodynamic fluctuations that are inherent to critical regions. They can thereby predict the critical behavior of…
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Keywords:
statistics magnetization;
deviation statistics;
large deviation;
lee yang ... See more keywords