UB Paderborn / Katalog / Suche / in CDI

Performance of Ensemble Kalman Filters in Large Dimensions

Communications on pure and applied mathematics, 2018-05, Vol.71 (5), p.892-937

2018

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Concrete ensemble Kalman filters with rigorous catastrophic filter divergence

Proceedings of the National Academy of Sciences - PNAS, 2015-08, Vol.112 (34), p.10589-10594

2015

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Appropriate noise addition to metaheuristic algorithms can enhance their performance

Scientific reports, 2023-03, Vol.13 (1), p.5291-5291, Article 5291

2023

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Information barriers for noisy Lagrangian tracers in filtering random incompressible flows

Nonlinearity, 2014-09, Vol.27 (9), p.2133-2163

2014

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STATISTICAL INFERENCE FOR MODEL PARAMETERS IN STOCHASTIC GRADIENT DESCENT

The Annals of statistics, 2020-02, Vol.48 (1), p.251-273

2020

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Performance Analysis of Local Ensemble Kalman Filter

Journal of nonlinear science, 2018-08, Vol.28 (4), p.1397-1442

Tong, Xin T.

2018

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Convergence acceleration of ensemble Kalman inversion in nonlinear settings

Mathematics of computation, 2022-05, Vol.91 (335), p.1247

2022

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Analysis of a localised nonlinear ensemble Kalman Bucy filter with complete and accurate observations

Nonlinearity, 2020-09, Vol.33 (9), p.4752-4782

2020

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Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion

Inverse problems, 2022-04, Vol.38 (4), p.45009

2022

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Nonlinear stability and ergodicity of ensemble based Kalman filters

Nonlinearity, 2016-02, Vol.29 (2), p.657-691

2016

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Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations

Statistics and computing, 2020-07, Vol.30 (4), p.1037-1056

2020

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Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows

Journal of nonlinear science, 2015-06, Vol.25 (3), p.451-488

2015

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Simple nonlinear models with rigorous extreme events and heavy tails

Nonlinearity, 2019-05, Vol.32 (5), p.1641-1674

2019

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Geometric Ergodicity for Piecewise Contracting Processes with Applications for Tropical Stochastic Lattice Models

Communications on pure and applied mathematics, 2016-06, Vol.69 (6), p.1110-1153

2016

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Intermittency in turbulent diffusion models with a mean gradient

Nonlinearity, 2015-11, Vol.28 (11), p.4171-4208

2015

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Stability bounds and almost sure convergence of improved particle swarm optimization methods

Research in the mathematical sciences, 2021-06, Vol.8 (2), Article 30

2021

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Spatial Localization for Nonlinear Dynamical Stochastic Models for Excitable Media

Chinese annals of mathematics. Serie B, 2019-11, Vol.40 (6), p.891-924

2019

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Ergodicity of Truncated Stochastic Navier Stokes with Deterministic Forcing and Dispersion

Journal of nonlinear science, 2016-10, Vol.26 (5), p.1483-1506

2016

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Moment bounds and geometric ergodicity of diffusions with random switching and unbounded transition rates

Research in the mathematical sciences, 2016-11, Vol.3 (1), p.1-33, Article 41

2016

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Tikhonov Regularization within Ensemble Kalman Inversion

SIAM journal on numerical analysis, 2020-01, Vol.58 (2), p.1263-1294

2020

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Spectral gap of replica exchange Langevin diffusion on mixture distributions

Stochastic processes and their applications, 2022-09, Vol.151, p.451-489

2022

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Quantum Dot Photodetectors

1, 2021

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Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems

Inverse problems, 2022-12, Vol.38 (12), p.124002

2022

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Dimension independent excess risk by stochastic gradient descent

Electronic journal of statistics, 2022-01, Vol.16 (2)

2022

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Nonlinear stability of the ensemble Kalman filter with adaptive covariance inflation

Communications in mathematical sciences, 2016, Vol.14 (5), p.1283-1313

2016

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Performance of Ensemble Kalman Filters in Large Dimensions

Concrete ensemble Kalman filters with rigorous catastrophic filter divergence

Appropriate noise addition to metaheuristic algorithms can enhance their performance

Information barriers for noisy Lagrangian tracers in filtering random incompressible flows

STATISTICAL INFERENCE FOR MODEL PARAMETERS IN STOCHASTIC GRADIENT DESCENT

Performance Analysis of Local Ensemble Kalman Filter

Convergence acceleration of ensemble Kalman inversion in nonlinear settings

Analysis of a localised nonlinear ensemble Kalman Bucy filter with complete and accurate observations

Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion

Nonlinear stability and ergodicity of ensemble based Kalman filters

Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations

Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows

Simple nonlinear models with rigorous extreme events and heavy tails

Geometric Ergodicity for Piecewise Contracting Processes with Applications for Tropical Stochastic Lattice Models

Intermittency in turbulent diffusion models with a mean gradient

Stability bounds and almost sure convergence of improved particle swarm optimization methods

Spatial Localization for Nonlinear Dynamical Stochastic Models for Excitable Media

Ergodicity of Truncated Stochastic Navier Stokes with Deterministic Forcing and Dispersion

Moment bounds and geometric ergodicity of diffusions with random switching and unbounded transition rates

Tikhonov Regularization within Ensemble Kalman Inversion

Spectral gap of replica exchange Langevin diffusion on mixture distributions

Quantum Dot Photodetectors

Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems

Dimension independent excess risk by stochastic gradient descent

Nonlinear stability of the ensemble Kalman filter with adaptive covariance inflation

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