Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Stochastic dynamics and data science - MaRDI portal

Stochastic dynamics and data science (Q6151506)

From MaRDI portal

Jump to:navigation, search

scientific article; zbMATH DE number 7814881

Language	Label	Description	Also known as
English	Stochastic dynamics and data science	scientific article; zbMATH DE number 7814881

Statements

scholarly article

0 references

Stochastic dynamics and data science (English)

0 references

10.1142/s0219493723400026

0 references

0 references

0 references

Stochastics and Dynamics

0 references

publication date

11 March 2024

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

zbMATH DE Number

0 references

zbMATH Keywords

stochastic dynamical systems

0 references

data science

0 references

neural network

0 references

non-Gaussian noise

0 references

Lévy motion

0 references

stochastic analysis

0 references

machine learning

0 references

MaRDI profile type

MaRDI publication profile

0 references

full work available at URL

https://doi.org/10.1142/s0219493723400026

0 references

0 references

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

0 references

Large deviations for stochastic partial differential equations driven by a Poisson random measure

0 references

The Onsager–Machlup function as Lagrangian for the most probable path of a jump-diffusion process

0 references

The role of slow manifolds in parameter estimation for a multiscale stochastic system with <i>α</i>-stable Lévy noise

0 references

Data-driven method to learn the most probable transition pathway and stochastic differential equation

0 references

Detecting the maximum likelihood transition path from data of stochastic dynamical systems

0 references

0 references

Quantifying Model Uncertainties in the Space of Probability Measures

0 references

The Onsager-Machlup function as Lagrangian for the most probable path of a diffusion process

0 references

Quantifying model uncertainty in dynamical systems driven by non-Gaussian Lévy stable noise with observations on mean exit time or escape probability

0 references

Dynamical inference for transitions in stochastic systems with<i>α</i>-stable Lévy noise

0 references

Fokker-Planck equations for stochastic dynamical systems with symmetric Lévy motions

0 references

Mean Exit Time and Escape Probability for Dynamical Systems Driven by Lévy Noises

0 references

A parameter estimator based on Smoluchowski-Kramers approximation

0 references

The geometric minimum action method: A least action principle on the space of curves

0 references

Estimating the most probable transition time for stochastic dynamical systems

0 references

Random Perturbations of Dynamical Systems

0 references

A data-driven approach for discovering stochastic dynamical systems with non-Gaussian Lévy noise

0 references

Extracting governing laws from sample path data of non-Gaussian stochastic dynamical systems

0 references

Extracting stochastic dynamical systems with α-stable Lévy noise from data

0 references

Discovering transition phenomena from data of stochastic dynamical systems with Lévy noise

0 references

Fluctuations and Irreversible Processes

0 references

Effective filtering on a random slow manifold

0 references

Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

0 references

A parameter estimation method based on random slow manifolds

0 references

Data-Driven Identification of Parametric Partial Differential Equations

0 references

Stochastic basins of attraction for metastable states

0 references

Transitions between metastable states in a simplified model for the thermohaline circulation under random fluctuations

0 references

Fluctuations and Irreversible Thermodynamics

0 references

The Dawning of a New Era in Applied Mathematics

0 references

The Deep Ritz Method: a deep learning-based numerical algorithm for solving variational problems

0 references

A data-driven approximation of the koopman operator: extending dynamic mode decomposition

0 references

The tipping times in an Arctic sea ice system under influence of extreme events

0 references

Neural network stochastic differential equation models with applications to financial data forecasting

0 references

0 references

Slow manifolds for dynamical systems with non-Gaussian stable Lévy noise

0 references

Extracting non-Gaussian governing laws from data on mean exit time

0 references

Analysis of multiscale methods for stochastic dynamical systems driven by \(\alpha\)-stable processes

0 references

The maximum likelihood climate change for global warming under the influence of greenhouse effect and Lévy noise

0 references

Slow manifold and parameter estimation for a nonlocal fast-slow dynamical system with Brownian motion

0 references

Slow manifolds for a nonlocal fast-slow stochastic system with stable Lévy noise

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:6151506

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Item:Q6151506&oldid=37644406"