activity
20132022
most citedOn Inviscid Limits for the Stochastic Navier-Stokes Equations and Related Models

5 citations · 5 across the 3 of their papers we have counts for

collaborators

11 papers

math.AP2022

Unique Ergodicity in Stochastic Electroconvection

Elie Abdo, Nathan Glatt-Holtz, Mihaela Ignatova

We consider a stochastic electroconvection model describing the nonlinear evolution of a surface charge density in a two-dimensional fluid with additive stochastic forcing. We prov…

math.ST2020

On the accept-reject mechanism for Metropolis-Hastings algorithms

Nathan E. Glatt-Holtz, Justin A. Krometis, Cecilia F. Mondaini

This work develops a powerful and versatile framework for determining acceptance ratios in Metropolis-Hastings type Markov kernels widely used in statistical sampling problems. Our…

math.PR2020

Sensitivity of steady states in a degenerately-damped stochastic Lorenz system

Juraj Foldes, Nathan E. Glatt-Holtz, David P. Herzog

We study stability of solutions for a randomly driven and degenerately damped version of the Lorenz '63 model. Specifically, we prove that when damping is absent in one of the temp…

math.ST2020

Mixing Rates for Hamiltonian Monte Carlo Algorithms in Finite and Infinite Dimensions

Nathan E. Glatt-Holtz, Cecilia F. Mondaini

We establish the geometric ergodicity of the preconditioned Hamiltonian Monte Carlo (HMC) algorithm defined on an infinite-dimensional Hilbert space, as developed in [Beskos et al.…

math.ST2018

On Bayesian Consistency for Flows Observed Through a Passive Scalar

Jeff Borggaard, Nathan E. Glatt-Holtz, Justin A. Krometis

We consider the statistical inverse problem of estimating a background fluid flow field from the partial, noisy observations of the concentration of a substance pa…

math.AP2018

Affine Poisson & Non-Poisson trace principles for

Nico Lombardi, Jie Xiao

This note discovers not only an affine non-sharp-Poisson trace inequality but also its sharp-non-Poisson version for a Sobolev function with the fractional antiderivative.