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Many natural and physical processes display long memory and extreme events. In these systems, the measured time series is invariably contaminated by noise. As the extreme events display large deviation from the mean behaviour, the noise…

Cellular Automata and Lattice Gases · Physics 2021-11-23 Dayal Singh , M. S. Santhanam

In spite of precautions to avoid the harmful effects of extreme events, we experience recurrently phenomena that overcome the preventive barriers. These barriers usually increase drastically right after the occurrence of such extreme…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Eduardo G. Altmann , Sarah Hallerberg , Holger Kantz

The time-dependent barrier passage of an anomalous damping system is studied via the generalized Langevin equation (GLE) with non-Ohmic memory damping friction tensor and corresponding thermal colored noise tensor describing a particle…

Statistical Mechanics · Physics 2015-05-13 Chun-Yang Wang

The main problem about replacing LTP as a memory mechanism has been to find other highly abstract, easily understandable principles for induced plasticity. In this paper we attempt to lay out such a basic mechanism, namely intrinsic…

Neurons and Cognition · Quantitative Biology 2014-05-13 Gabriele Scheler

In this paper, we address rare-event simulation for heavy-tailed L\'evy processes with infinite activities. The presence of infinite activities poses a critical challenge, making it impractical to simulate or store the precise sample path…

Probability · Mathematics 2024-08-07 Xingyu Wang , Chang-Han Rhee

The prediction and control of rare events is an important task in disciplines that range from physics and biology, to economics and social science. The Big Jump principle deals with a peculiar aspect of the mechanism that drives rare…

Statistical Mechanics · Physics 2020-02-27 Alessandro Vezzani , Eli Barkai , Raffaella Burioni

Calculating the microscopic dissociation rate of a bound state, such as a classical diatomic molecule, has been difficult so far. The problem was that standard theories require an energy barrier over which the bound particle (or state)…

Statistical Mechanics · Physics 2012-02-16 Alessio Zaccone , Eugene M. Terentjev

Consider the underdamped Langevin process $(q(t),p(t))_{t\geq0}$ in $\R^d\times\R^d$. We derive the low-temperature asymptotic of its mean-transition time between basins of attraction for a double-well potential. This asymptotic is called…

Probability · Mathematics 2026-02-11 Seungwoo Lee , Mouad Ramil , Insuk Seo

Many turbulent flows undergo drastic and abrupt configuration changes with huge impacts. As a paradigmatic example we study the multistability of jet dynamics in a barotropic beta plane model of atmosphere dynamics. It is considered as the…

Statistical Mechanics · Physics 2019-02-27 Freddy Bouchet , Joran Rolland , Eric Simonnet

Kramers escape rate in the overdamped systems with the power-law distribution is studied. By using the mean first passage time, we derive the escape rate for the power-law distribution and obtain the Kramers' infinite barrier escape rate in…

Statistical Mechanics · Physics 2015-08-10 Yanjun Zhou , Jiulin Du

The Kramers-Moyal analysis is a well established approach to analyze stochastic time series from complex systems. If the sampling interval of a measured time series is too low, systematic errors occur in the analysis results. These errors…

Data Analysis, Statistics and Probability · Physics 2012-08-06 Christoph Honisch , Rudolf Friedrich , Florian Hörner , Cornelia Denz

We construct a continuous-time, positively divisible non-Markovian process with memory of the initial state that satisfies the differential Chapman--Kolmogorov equation. In the stationary state, the correlation function exhibits exponential…

Probability · Mathematics 2026-05-29 Bilal Canturk , Gokhan Baris Bagci , Onur Pusuluk

We calculate the probabilities to find systems of reacting particles in states which largely deviate from typical behavior. The rare event statistics is obtained from the master equation which describes the dynamics of the probability…

Statistical Mechanics · Physics 2019-08-02 Andreas Mühlbacher , Thomas Guhr

The reactive process of barrier escaping from the metastable potential well is studied together with the extension of Kramers' rate formula to the fractional case. Characteristic quantities are computed for an thimbleful of insight into the…

Chemical Physics · Physics 2015-02-24 Chun-Yang Wang

Strongly non-Markovian random walks offer a promising modeling framework for understanding animal and human mobility, yet, few analytical results are available for these processes. Here we solve exactly a model with long range memory where…

Statistical Mechanics · Physics 2015-06-19 Denis Boyer , Citlali Solis-Salas

Information is physical but information is also processed in finite time. Where computing protocols are concerned, finite-time processing in the quantum regime can dynamically generate coherence. Here we show that this can have significant…

Quantum Physics · Physics 2020-10-19 Harry J. D. Miller , Giacomo Guarnieri , Mark T. Mitchison , John Goold

Under the effect of strong genetic drift, it is highly probable to observe gene fixation or gene loss in a population, shown by infinite peaks on a coherently constructed potential energy landscape. It is then important to ask what such…

Populations and Evolution · Quantitative Biology 2015-06-15 Song Xu , Shuyun Jiao , Pengyao Jiang , Ping Ao

The underdamped, non-linear, generalized Langevin equation is widely used to model coarse-grained dynamics of soft and biological materials. By means of a projection operator formalism, we show under which approximations this equation can…

Soft Condensed Matter · Physics 2022-02-04 Fabian Glatzel , Tanja Schilling

The first-passage time (FPT) of a stochastic signal to a threshold is a fundamental observable across physics, biology, and finance. While renewal shot noise is a canonical model for such signals, analytical results for its FPT have…

Statistical Mechanics · Physics 2026-02-24 Julien Brémont

Event history data from sports competitions have recently drawn increasing attention in sports analytics to generate data-driven strategies. Such data often exhibit self-excitation in the event occurrence and dependence within event…

Methodology · Statistics 2026-01-14 K. Ken Peng , X. Joan Hu , Tim B. Swartz
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