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Journal Articles

Locating saddle points using gradient extremals on manifolds adaptively revealed as point clouds

A. Georgiou, H. Vandecasteele, J. M. Bello-Rivas, I. Kevrekidis

Chaos 33, 123108 (2023)

https://doi.org/10.1063/5.0178947

Published: December 2023

View article titled, Locating saddle points using gradient extremals on manifolds adaptively revealed as point clouds

Journal Articles

Parameter estimation of the fractional Ornstein–Uhlenbeck process based on quadratic variation

Joanna Janczura, Marcin Magdziarz, Ralf Metzler

Chaos 33, 103125 (2023)

https://doi.org/10.1063/5.0158843

Published: October 2023

View article titled, Parameter estimation of the fractional Ornstein–Uhlenbeck process based on quadratic variation

Journal Articles

Stochastic paleoclimatology: Modeling the EPICA ice core climate records

N. D. B. Keyes, L. T. Giorgini, J. S. Wettlaufer

Chaos 33, 093132 (2023)

https://doi.org/10.1063/5.0128814

Published: September 2023

View article titled, Stochastic paleoclimatology: Modeling the EPICA ice core climate records

Journal Articles

The occurrence mechanisms of extreme events in a class of nonlinear Duffing-type systems under random excitations

Dan Zhao, Yongge Li, Qi Liu, Huikang Zhang, Yong Xu

Chaos 33, 083109 (2023)

https://doi.org/10.1063/5.0156492

Published: August 2023

View article titled, The occurrence mechanisms of extreme events in a class of nonlinear Duffing-type systems under random excitations

Journal Articles

A simple modeling framework for prediction in the human glucose–insulin system

Melike Sirlanci, Matthew E. Levine, Cecilia C. Low Wang, David J. Albers, Andrew M. Stuart

Chaos 33, 073150 (2023)

https://doi.org/10.1063/5.0146808

Published: July 2023

View article titled, A simple modeling framework for prediction in the human glucose–insulin system

Journal Articles

Testing of two-dimensional Gaussian processes by sample cross-covariance function

Katarzyna Maraj-Zygmąt, Aleksandra Grzesiek, Grzegorz Sikora, Janusz Gajda, Agnieszka Wyłomańska

Chaos 33, 073135 (2023)

https://doi.org/10.1063/5.0141262

Published: July 2023

View article titled, Testing of two-dimensional Gaussian processes by sample cross-covariance function

Journal Articles

Effect of network nestedness on stability, diversity, and resilience of ecosystems

Dongli Duan, Yuchen Zhai, Gege Hou, Meng Zhou, Yisheng Rong

Chaos 33, 073113 (2023)

https://doi.org/10.1063/5.0143274

Published: July 2023

View article titled, Effect of network nestedness on stability, diversity, and resilience of ecosystems

Journal Articles

Effect of nonlinearity and persistence on multiscale irreversibility, non-stationarity, and complexity of time series—Case of data generated by the modified Langevin model

Monika Petelczyc, Zbigniew Czechowski

Chaos 33, 053107 (2023)

https://doi.org/10.1063/5.0141160

Published: May 2023

View article titled, Effect of nonlinearity and persistence on multiscale irreversibility, non-stationarity, and complexity of time series—Case of data generated by the modified Langevin model

Journal Articles

Increasing the synchronization stability in complex networks

Xian Wu, Kaihua Xi, Aijie Cheng, Hai Xiang Lin, Jan H. van Schuppen

Chaos 33, 043116 (2023)

https://doi.org/10.1063/5.0114974

Published: April 2023

View article titled, Increasing the synchronization stability in complex networks

Journal Articles

Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning

Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis

Chaos 33, 023121 (2023)

https://doi.org/10.1063/5.0113632

Published: February 2023

View article titled, Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning

Journal Articles

An improved approach for calculating energy landscape of gene networks from moment equations

Shirui Bian, Yunxin Zhang, Chunhe Li

Chaos 33, 023116 (2023)

https://doi.org/10.1063/5.0128345

Published: February 2023

View article titled, An improved approach for calculating energy landscape of gene networks from moment equations

Includes: Supplementary data

Journal Articles

Goodness-of-fit test for stochastic processes using even empirical moments statistic

Katarzyna Maraj-Zygmąt, Grzegorz Sikora, Marcin Pitera, Agnieszka Wyłomańska

Chaos 33, 013128 (2023)

https://doi.org/10.1063/5.0111505

Published: January 2023

View article titled, Goodness-of-fit test for stochastic processes using even empirical moments statistic

Journal Articles

A new coding system to test independence of time series

J. S. Cánovas, A. Guillamón, M. C. Ruiz-Abellón

Chaos 33, 013122 (2023)

https://doi.org/10.1063/5.0132097

Published: January 2023

View article titled, A new coding system to test independence of time series

Journal Articles

A combinatorial view of stochastic processes: White noise

Alvaro Diaz-Ruelas

Chaos 32, 123136 (2022)

https://doi.org/10.1063/5.0097187

Published: December 2022

View article titled, A combinatorial view of stochastic processes: White noise

Journal Articles

Noise-induced switching in an oscillator with pulse delayed feedback: A discrete stochastic modeling approach

Vladimir V. Klinshov, Otti D’Huys

Chaos 32, 093141 (2022)

https://doi.org/10.1063/5.0100698

Published: September 2022

View article titled, Noise-induced switching in an oscillator with pulse delayed feedback: A discrete stochastic modeling approach

Journal Articles

Multifractional Brownian motion characterization based on Hurst exponent estimation and statistical learning

Dawid Szarek, Ireneusz Jabłoński, Diego Krapf, Agnieszka Wyłomańska

Chaos 32, 083148 (2022)

https://doi.org/10.1063/5.0093836

Published: August 2022

View article titled, Multifractional Brownian motion characterization based on Hurst exponent estimation and statistical learning

Journal Articles

Influence of heterogeneity of infection thresholds on epidemic spreading with neighbor resource supporting

Xuzhen Zhu, Yuxin Wang, Ningbo Zhang, Hui Yang, Wei Wang

Chaos 32, 083124 (2022)

https://doi.org/10.1063/5.0098328

Published: August 2022

View article titled, Influence of heterogeneity of infection thresholds on epidemic spreading with neighbor resource supporting

Journal Articles

Time-series forecasting using manifold learning, radial basis function interpolation, and geometric harmonics

Panagiotis G. Papaioannou, Ronen Talmon, Ioannis G. Kevrekidis, Constantinos Siettos

Chaos 32, 083113 (2022)

https://doi.org/10.1063/5.0094887

Published: August 2022

View article titled, Time-series forecasting using manifold learning, radial basis function interpolation, and geometric harmonics

Journal Articles

A self-consistent analytical theory for rotator networks under stochastic forcing: Effects of intrinsic noise and common input

Jonas Ranft, Benjamin Lindner

Chaos 32, 063131 (2022)

https://doi.org/10.1063/5.0096000

Published: June 2022

View article titled, A self-consistent analytical theory for rotator networks under stochastic forcing: Effects of intrinsic noise and common input

Journal Articles

Variational inference of the drift function for stochastic differential equations driven by Lévy processes

Min Dai, Jinqiao Duan, Jianyu Hu, Jianghui Wen, Xiangjun Wang

Chaos 32, 061103 (2022)

https://doi.org/10.1063/5.0095605

Published: June 2022

View article titled, Variational inference of the drift function for stochastic differential equations driven by Lévy processes

NARROW

Topics

Locating saddle points using gradient extremals on manifolds adaptively revealed as point clouds

Parameter estimation of the fractional Ornstein–Uhlenbeck process based on quadratic variation

Stochastic paleoclimatology: Modeling the EPICA ice core climate records

The occurrence mechanisms of extreme events in a class of nonlinear Duffing-type systems under random excitations

A simple modeling framework for prediction in the human glucose–insulin system

Testing of two-dimensional Gaussian processes by sample cross-covariance function

Effect of network nestedness on stability, diversity, and resilience of ecosystems

Effect of nonlinearity and persistence on multiscale irreversibility, non-stationarity, and complexity of time series—Case of data generated by the modified Langevin model

Increasing the synchronization stability in complex networks

Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning

An improved approach for calculating energy landscape of gene networks from moment equations

Goodness-of-fit test for stochastic processes using even empirical moments statistic

A new coding system to test independence of time series

A combinatorial view of stochastic processes: White noise

Noise-induced switching in an oscillator with pulse delayed feedback: A discrete stochastic modeling approach

Multifractional Brownian motion characterization based on Hurst exponent estimation and statistical learning

Influence of heterogeneity of infection thresholds on epidemic spreading with neighbor resource supporting

Time-series forecasting using manifold learning, radial basis function interpolation, and geometric harmonics

A self-consistent analytical theory for rotator networks under stochastic forcing: Effects of intrinsic noise and common input

Variational inference of the drift function for stochastic differential equations driven by Lévy processes

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