Cover Image

Koopman Reduced Order Modeling with Confidence Bounds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohr, Ryan, Fonoberova, Maria, Mezic, Igor
Format:	Preprint
Published:	2022
Subjects:	Dynamical Systems 47B33, 15A18, 62F25, 62M20
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the lifting and reconstruction of nonlinear systems with multiple invariant sets
by: Pan, Shaowu, et al.
Published: (2023)

Influence network reconstruction from discrete time-series of count data modelled by multidimensional Hawkes processes
by: Santitissadeekorn, Naratip, et al.
Published: (2025)

Koopman Kalman Filter (KKF): An asymptotically optimal nonlinear filtering algorithm with error bounds and its application to parameter estimation
by: Olguín, Diego, et al.
Published: (2025)

Confidence intervals for causal effects in sequential decision making
by: Vovk, Vladimir, et al.
Published: (2026)

Approximation of the Koopman operator via Bernstein polynomials
by: Yadav, Rishikesh, et al.
Published: (2024)

Reinforcement Learning, Optimal Control, and Bayesian Filtering in Data Assimilation
by: Hammoud, Abed
Published: (2026)

Confidence and discoveries with e-values
by: Vovk, Vladimir, et al.
Published: (2019)

The Certainty Bound: Structural Limits on Scientific Reliability
by: Pollanen, Marco
Published: (2026)

Bayesian Forecast Combination with Predictive Priors via Particle Filtering
by: Luo, Xiaorui, et al.
Published: (2025)

Bayesian Dynamic Modeling of Realized Volatility in Financial Asset Price Forecasting
by: Woitschig, Patrick, et al.
Published: (2026)

Learning Optimal Filters Using Variational Inference
by: Bach, Eviatar, et al.
Published: (2024)

Residual SCI Upper Bounds And Lower Witnesses For Koopman Approximate Point Spectra In $L^p$ For $1<p<\infty$: Extended Version
by: Sorg, Christopher
Published: (2025)

Compositional dynamic modelling for causal prediction in multivariate time series
by: Li, Kevin, et al.
Published: (2024)

Adaptive Bayes estimator for stochastic differential equations with jumps under small noise asymptotics
by: Suzuki, Shuntaro, et al.
Published: (2024)

Some are observed, all leave traces: whole-population modeling of French elite civil servants' career paths
by: Voldoire, Théo, et al.
Published: (2023)

Confidence interval for the sensitive fraction in Item Count Technique model
by: Jaworski, Stanislaw, et al.
Published: (2024)

Simultaneous Graphical Dynamic Modeling
by: West, Mike, et al.
Published: (2024)

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems
by: Sanz-Alonso, Daniel, et al.
Published: (2024)

Scalable simulation-based inference for implicitly defined models using a metamodel for Monte Carlo log-likelihood estimator
by: Park, Joonha
Published: (2023)

Optimal low-rank posterior covariance approximation in linear Gaussian inverse problems on Hilbert spaces
by: Carere, Giuseppe, et al.
Published: (2024)

Minimaxity and Admissibility of Bayesian Neural Networks
by: Coulson, Daniel Andrew, et al.
Published: (2026)

A Conversation with A. Philip Dawid
by: Vovk, Vladimir, et al.
Published: (2023)

A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators
by: Chada, Neil K., et al.
Published: (2022)

Model-Embedded Gaussian Process Regression for Parameter Estimation in Dynamical System
by: Zhou, Ying, et al.
Published: (2024)

Parametrized Families of Gibbs Measures and their Statistical Inference
by: Denker, Manfred, et al.
Published: (2024)

Optimal low-rank approximations for linear Gaussian inverse problems on Hilbert spaces, Part I: posterior covariance approximation
by: Carere, Giuseppe, et al.
Published: (2025)

Insights into Tail-Based and Order Statistics
by: Almani, Hamidreza Maleki
Published: (2025)

Maximum a posteriori testing in statistical inverse problems
by: Kretschmann, Remo, et al.
Published: (2024)

Confidence intervals for intentionally biased estimators
by: Kaplan, David M., et al.
Published: (2025)

A Unified Model of Text and Citations for Topic-Specific Citation Networks
by: Kim, ByungKoo, et al.
Published: (2025)

Order selection in GARMA models for count time series: a Bayesian perspective
by: Lastra, Katerine Zuniga, et al.
Published: (2024)

Error analysis of the projected PO method with additive inflation for the partially observed Lorenz 96 model
by: Takeda, Kota
Published: (2025)

A Unified Matrix-Spectral Framework for Stability and Interpretability in Deep Learning
by: Katende, Ronald
Published: (2026)

Endpoint Koopman Spectral Computation: $L^1$ Residual Bounds, $L^\infty$ Instability, and Point-Spectral SCI Calibration Families
by: Sorg, Christopher
Published: (2026)

Unit-Weibull Autoregressive Moving Average Models
by: Pumi, Guilherme, et al.
Published: (2022)

Robust Moment-Based Estimation via Spectral Gradient Reweighting
by: Zhang, Liu, et al.
Published: (2026)

A Matsuoka-Based GARMA Model for Hydrological Forecasting: Theory, Estimation, and Applications
by: Pumi, Guilherme, et al.
Published: (2025)

A Novel Multiple Imputation Approach For Parameter Estimation in Observation-Driven Time Series Models With Missing Data
by: Pumi, Guilherme, et al.
Published: (2026)

Bayesian Bell regression model for fitting of overdispersed count data with application
by: Alhseeni, Ameer Musa Imran, et al.
Published: (2024)

Product of nonnegative selfadjoint operators in unbounded settings
by: Barkaoui, Yosra, et al.
Published: (2025)