Cover Image

Bernstein-von Mises theorems for time evolution equations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Nickl, Richard
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory Numerical Analysis Analysis of PDEs Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Consistent inference for diffusions from low frequency measurements
by: Nickl, Richard
Published: (2022)

On gradient stability in nonlinear PDE models and inference in interacting particle systems
by: Castre, Aurélien, et al.
Published: (2026)

Inferring diffusivity from killed diffusion
by: Nickl, Richard, et al.
Published: (2025)

On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations
by: Nickl, Richard, et al.
Published: (2023)

Bayesian Nonparametric Inference in McKean-Vlasov models
by: Nickl, Richard, et al.
Published: (2024)

On low frequency inference for diffusions without the hot spots conjecture
by: Alberti, Giovanni S., et al.
Published: (2024)

Data assimilation with the 2D Navier-Stokes equations: Optimal Gaussian asymptotics for the posterior measure
by: Konen, Dimitri, et al.
Published: (2025)

Sharp local sparsity of regularized optimal transport
by: González-Sanz, Alberto, et al.
Published: (2026)

Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling
by: Altschuler, Jason M., et al.
Published: (2025)

Numerical analysis of the stochastic Navier-Stokes equations
by: Breit, Dominic, et al.
Published: (2025)

A Higher Order Discretization for the Stochastic Navier--Stokes equations with additive Noise
by: Banas, L., et al.
Published: (2026)

A collision-oriented interacting particle system for Landau-type equations and the molecular chaos
by: Du, Kai, et al.
Published: (2024)

Quantifying the effect of noise perturbation for the stochastic Burgers equation with additive trace-class noise
by: Cox, Sonja, et al.
Published: (2026)

Weak error estimates of Galerkin approximations for the stochastic Burgers equation driven by additive trace-class noise
by: Bréhier, Charles-Edouard, et al.
Published: (2024)

Mean Square Temporal error estimates for the 2D stochastic Navier-Stokes equations with transport noise
by: Breit, Dominic, et al.
Published: (2023)

Deep ReLU neural networks overcome the curse of dimensionality when approximating semilinear partial integro-differential equations
by: Neufeld, Ariel, et al.
Published: (2023)

Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
by: Miyatake, Yuto, et al.
Published: (2024)

Space-time deep neural network approximations for high-dimensional partial differential equations
by: Hornung, Fabian, et al.
Published: (2020)

Nonparametric Bayesian inference for reversible multi-dimensional diffusions
by: Giordano, Matteo, et al.
Published: (2020)

Inhomogeneous Priors for Bayesian Inverse Problems
by: Afkham, Babak Maboudi, et al.
Published: (2026)

Inverting the Fisher information operator in non-linear models
by: Konen, Dimitri
Published: (2026)

Central Limit Theorems for Smooth Optimal Transport Maps
by: Manole, Tudor, et al.
Published: (2023)

Well-posedness and Hurst parameter estimation for fluid equations driven by fractional transport noise
by: Neamtu, Alexandra Blessing, et al.
Published: (2026)

Bounds on the approximation error for deep neural networks applied to dispersive models: Nonlinear waves
by: Muñoz, Claudio, et al.
Published: (2024)

A stochastic perturbation approach to nonlinear bifurcating problems
by: Gonnella, Isabella Carla, et al.
Published: (2024)

Structure-informed operator learning for parabolic Partial Differential Equations
by: Benth, Fred Espen, et al.
Published: (2024)

Scaling limits for fractional polyharmonic Gaussian fields
by: De Nitti, Nicola, et al.
Published: (2023)

Diffusive transport on the real line: semi-contractive gradient flows and their discretization
by: Matthes, Daniel, et al.
Published: (2025)

Resonance based schemes for SPDEs
by: Armstrong-Goodall, Jacob, et al.
Published: (2023)

Sufficient Conditions for the Energy Balance for the Stochastic Incompressible Euler Equations with Additive Noise in two Space Dimensions
by: Rohner, Tobias, et al.
Published: (2025)

Multilevel Picard algorithm for general semilinear parabolic PDEs with gradient-dependent nonlinearities
by: Neufeld, Ariel, et al.
Published: (2023)

Multilevel Picard approximations overcome the curse of dimensionality in the numerical approximation of general semilinear PDEs with gradient-dependent nonlinearities
by: Neufeld, Ariel, et al.
Published: (2023)

Optimal artificial boundary conditions based on second-order correctors for three dimensional random elliptic media
by: Lu, Jianfeng, et al.
Published: (2021)

Analysis of Langevin midpoint methods using an anticipative Girsanov theorem
by: Zhang, Matthew S.
Published: (2025)

On the signature of an image
by: Diehl, Joscha, et al.
Published: (2024)

Sticky coupling as a control variate for sensitivity analysis
by: Darshan, Shiva, et al.
Published: (2024)

Nonparametric estimation of homogenized invariant measures from multiscale data via Hermite expansion
by: Borodavka, Jaroslav I., et al.
Published: (2025)

Singular values of sparse random rectangular matrices: Emergence of outliers at criticality
by: Dumitriu, Ioana, et al.
Published: (2025)

Convergence analysis for an implementable scheme to solve the linear-quadratic stochastic optimal control problem with stochastic wave equation
by: Chaudhary, Abhishek
Published: (2025)

Homomorphic data compression for real time photon correlation analysis
by: Strempfer, Sebastian, et al.
Published: (2024)