:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Laurence, Lucie, Robert, Philippe
Format:	Preprint
Publié:	2023
Sujets:	Probability
Accès en ligne:	https://arxiv.org/abs/2310.01949
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Stochastic Chemical Reaction Networks with Discontinuous Limits and AIMD processes
par: Laurence, Lucie, et autres
Publié: (2024)

Analysis of Stochastic Chemical Reaction Networks with a Hierarchy of Timescales
par: Laurence, Lucie, et autres
Publié: (2024)

Stochastic Models of Resource Allocation in Chemical Reaction Networks
par: Fromion, Vincent, et autres
Publié: (2025)

Noise-induced stabilization in a chemical reaction network without boundary effects
par: Agazzi, Andrea, et autres
Publié: (2025)

The Equilibrium States of Large Networks of Erlang Queues
par: Martirosyan, Davit, et autres
Publié: (2018)

Stochastic Policy Gradient Methods in the Uncertain Volatility Model
par: Abbas-Turki, Lokman A, et autres
Publié: (2026)

Quasi-Ergodicity of Transient Patterns in Stochastic Reaction-Diffusion Equations
par: Adams, Zachary P.
Publié: (2022)

Kinetic and Thermodynamic Descriptions of Open Systems of Complex Chemical Reactions with Multiple Scales
par: Hong, Liu, et autres
Publié: (2025)

Convergence of Stochastic Gradient Descent with mini-batching and infinite variance
par: Glowacki, Bartosz, et autres
Publié: (2026)

Stochastic control for Backward Stochastic Differential Equations with semi-Markov chain noises
par: Elliott, Robert J., et autres
Publié: (2025)

Heron: Visualizing and Controlling Chemical Reaction Explorations and Networks
par: Müller, Charlotte H., et autres
Publié: (2024)

Stochastic Filtering of Reaction Networks Partially Observed in Time Snapshots
par: Rathinam, Muruhan, et autres
Publié: (2023)

Scaling Limit of a Stochastic Clustering Model on $\mathbb{R}$
par: Dey, Partha S., et autres
Publié: (2025)

Finite-Time Transition to Intermittency for a Stochastic Heat Equation Driven by the Square of a Gaussian Field
par: Mounaix, Philippe
Publié: (2026)

The Hydrodynamic Limit of Hawkes Processes on Adaptive Stochastic Networks
par: MacLaurin, James
Publié: (2024)

Stochastic Reaction Networks Within Interacting Compartments with Content-Dependent Fragmentation
par: Anderson, David F., et autres
Publié: (2025)

Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models
par: Agazzi, Andrea, et autres
Publié: (2026)

GUE-corners process in two-periodic Aztec diamonds
par: Robert, Nicolas, et autres
Publié: (2025)

Optimal Fluctuations for Nonlinear Chemical Reaction Systems with General Rate Law
par: Zhao, Feng, et autres
Publié: (2025)

Stochastic Operator Network: A Stochastic Maximum Principle Based Approach to Operator Learning
par: Bausback, Ryan, et autres
Publié: (2025)

Development and Application of the Fourier Method to the Mean-Square Approximation of Iterated Ito and Stratonovich Stochastic Integrals
par: Kuznetsov, Dmitriy F.
Publié: (2017)

Relative Error of Scaled Poisson Approximation via Stein's Method
par: Tan, Yue, et autres
Publié: (2018)

Large Deviation Principle for Multi-Scale Fully Local Monotone Stochastic Dynamical Systems with Multiplicative Noise
par: Hong, Wei, et autres
Publié: (2024)

Multidimensional Stability of Planar Travelling Waves for Stochastically Perturbed Reaction-Diffusion Systems
par: Bosch, Mark van den, et autres
Publié: (2024)

Local Phase Tracking and Metastability of Planar Waves in Stochastic Reaction-Diffusion Systems
par: Bosch, Mark van den, et autres
Publié: (2025)

Interpretable Neural Approximation of Stochastic Reaction Dynamics with Guaranteed Reliability
par: Badolle, Quentin, et autres
Publié: (2025)

Scaling Limit and Large Deviation for 3D Globally Modified Stochastic Navier-Stokes Equations with Transport Noise
par: Liu, Chang, et autres
Publié: (2024)

Stochastic Approximation with Two Time Scales: The General Case
par: Borkar, Vivek S
Publié: (2024)

Partially Stochastic Infinitely Deep Bayesian Neural Networks
par: Calvo-Ordonez, Sergio, et autres
Publié: (2024)

On the existence of personal equilibria
par: Carassus, Laurence, et autres
Publié: (2025)

Stochastic Network Calculus with Localized Application of Martingales
par: Bouillard, Anne
Publié: (2022)

A Stein's Method Approach to the Linear Noise Approximation for Stationary Distributions of Chemical Reaction Networks
par: Grunberg, Theodore W., et autres
Publié: (2023)

Expansion of Iterated Stratonovich Stochastic Integrals of Multiplicity 2 Based on Double Fourier-Legendre Series Summarized by Pringsheim Method
par: Kuznetsov, Dmitriy F.
Publié: (2018)

The Proof of Convergence with Probability 1 in the Method of Expansion of Iterated Ito Stochastic Integrals Based on Generalized Multiple Fourier Series
par: Kuznetsov, Dmitriy F.
Publié: (2020)

Approximation to Deep Q-Network by Stochastic Delay Differential Equations
par: Lu, Jianya, et autres
Publié: (2025)

The Large Deviation Principle for Stochastic Flow of Stochastic Slow-Fast Motions
par: Ye, Mingkun, et autres
Publié: (2024)

Exact Calculation of the Mean-Square Error in the Method of Expansion of Iterated Ito Stochastic integrals Based on Generalized Multiple Fourier Series
par: Kuznetsov, Dmitriy F.
Publié: (2018)

Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations
par: Huynh, Phuoc-Toan, et autres
Publié: (2026)

Stochastic Safety Limits and Scale-Dependent Power Fluctuations in Nuclear Reactors: A Critical Scaling Approach
par: Ryazanov, V. V.
Publié: (2026)

Stochastic Port-Hamiltonian Neural Networks: Universal Approximation with Passivity Guarantees
par: Di Persio, Luca, et autres
Publié: (2026)