Multivariate extensions of the Multilevel Best Linear Unbiased Estimator for ensemble-variational data assimilation
Fuente:
arXiv
Saved in:
| Main Authors: | Destouches, Mayeul, Mycek, Paul, Gürol, Selime |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Linear scaling causal discovery from high-dimensional time series by dynamical community detection
by: Allione, Matteo, et al.
Published: (2025)
by: Allione, Matteo, et al.
Published: (2025)
Pairwise Distance-Diffusion Analysis (PDDA): A Geometric Framework for Estimating Hurst Exponents in Multivariate Long-Memory Processes
by: Soriano, Diogo C., et al.
Published: (2026)
by: Soriano, Diogo C., et al.
Published: (2026)
Evaluating the Uncertainty in Mean Residual Times: Estimators Based on Residence Times from Discrete Time Processes
by: Sánchez, Hernán R., et al.
Published: (2024)
by: Sánchez, Hernán R., et al.
Published: (2024)
Glacier data assimilation on an Arctic glacier: Learning from large ensemble twin experiments
by: Cao, Wenxue, et al.
Published: (2025)
by: Cao, Wenxue, et al.
Published: (2025)
Thermodynamically rational decision making under uncertainty
by: Daimer, Dorian, et al.
Published: (2023)
by: Daimer, Dorian, et al.
Published: (2023)
Identifying Intended Effects with Causal Models
by: Compagno, Dario
Published: (2024)
by: Compagno, Dario
Published: (2024)
Identifiability and improper solutions in the probabilistic partial least squares regression with unique variance
by: Arai, Takashi
Published: (2025)
by: Arai, Takashi
Published: (2025)
Non-parametric finite-sample credible intervals with one-dimensional priors: a middle ground between Bayesian and frequentist intervals
by: Ritmeester, Tim
Published: (2026)
by: Ritmeester, Tim
Published: (2026)
Testing of tempered fractional Brownian motions
by: Macioszek, Katarzyna, et al.
Published: (2025)
by: Macioszek, Katarzyna, et al.
Published: (2025)
Disentangling high order effects in the transfer entropy
by: Stramaglia, Sebastiano, et al.
Published: (2024)
by: Stramaglia, Sebastiano, et al.
Published: (2024)
Variational Dimension Lifting for Robust Tracking of Nonlinear Stochastic Dynamics
by: Ashenafi, Yonatan L.
Published: (2026)
by: Ashenafi, Yonatan L.
Published: (2026)
Local statistical moments to capture Kramers-Moyal coefficients
by: Wiedemann, Christian, et al.
Published: (2024)
by: Wiedemann, Christian, et al.
Published: (2024)
Identifiable factor analysis for mixed continuous and binary variables based on the Gaussian-Grassmann distribution
by: Arai, Takashi
Published: (2025)
by: Arai, Takashi
Published: (2025)
Dissecting Spectral Granger Causality through Partial Information Decomposition
by: Faes, Luca, et al.
Published: (2026)
by: Faes, Luca, et al.
Published: (2026)
Particle Filtering for Non-Deterministic Electrocardiographic Imaging
by: Lagracie, Emma, et al.
Published: (2025)
by: Lagracie, Emma, et al.
Published: (2025)
Least Squares as Random Walks
by: Kostinski, Alexander, et al.
Published: (2025)
by: Kostinski, Alexander, et al.
Published: (2025)
On the statistical analysis of grouped data: when Pearson $χ^2$ and other divisible statistics are not goodness-of-fit tests
by: Algeri, Sara, et al.
Published: (2024)
by: Algeri, Sara, et al.
Published: (2024)
Testing maximum entropy models with e-values
by: Giuffrida, Francesca, et al.
Published: (2025)
by: Giuffrida, Francesca, et al.
Published: (2025)
A statistical mechanics approach to de-biasing and uncertainty estimation in LASSO for random measurements
by: Takahashi, Takashi, et al.
Published: (2018)
by: Takahashi, Takashi, et al.
Published: (2018)
Reliable data clustering with Bayesian community detection
by: Neuman, Magnus, et al.
Published: (2025)
by: Neuman, Magnus, et al.
Published: (2025)
Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
by: Miyatake, Yuto, et al.
Published: (2024)
by: Miyatake, Yuto, et al.
Published: (2024)
Regularization of the ensemble Kalman filter using a non-parametric, non-stationary spatial model
by: Tsyrulnikov, Michael, et al.
Published: (2023)
by: Tsyrulnikov, Michael, et al.
Published: (2023)
PoissonRatioUQ: An R package for band ratio uncertainty quantification
by: LeDuc, Matthew, et al.
Published: (2026)
by: LeDuc, Matthew, et al.
Published: (2026)
Regularized Fingerprinting with Linearly Optimal Weight Matrix in Detection and Attribution of Climate Change
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
A low-rank ensemble Kalman filter for elliptic observations
by: Provost, Mathieu Le, et al.
Published: (2022)
by: Provost, Mathieu Le, et al.
Published: (2022)
Plotting correlated data
by: Koch, Lukas
Published: (2026)
by: Koch, Lukas
Published: (2026)
Preserving linear invariants in ensemble filtering methods
by: Provost, Mathieu Le, et al.
Published: (2024)
by: Provost, Mathieu Le, et al.
Published: (2024)
Numerical study of high-dimensional covariance estimation and localization for data assimilation
by: Gilpin, Shay, et al.
Published: (2025)
by: Gilpin, Shay, et al.
Published: (2025)
Accelerating an ensemble of variational data assimilations with randomized preconditioning
by: Daužickaitė, I., et al.
Published: (2026)
by: Daužickaitė, I., et al.
Published: (2026)
Maximum Entropy Spectral Analysis: an application to gravitational waves data analysis
by: Martini, Alessandro, et al.
Published: (2021)
by: Martini, Alessandro, et al.
Published: (2021)
Resolution of Simpson's paradox via the common cause principle
by: Hovhannisyan, A., et al.
Published: (2024)
by: Hovhannisyan, A., et al.
Published: (2024)
Wide-Surface Furnace for In Situ X-Ray Diffraction of Combinatorial Samples using a High-Throughput Approach
by: Cordaro, Giulio, et al.
Published: (2026)
by: Cordaro, Giulio, et al.
Published: (2026)
Bayesian Hierarchical Models and the Maximum Entropy Principle
by: Brewer, Brendon J.
Published: (2026)
by: Brewer, Brendon J.
Published: (2026)
On the Practical Use of Blaschke Decomposition in Nonstationary Signal Analysis
by: Coifman, Ronald R., et al.
Published: (2025)
by: Coifman, Ronald R., et al.
Published: (2025)
Bayesian hypergraph inference from scarce and noisy dynamical observations
by: Tang, Katerina, et al.
Published: (2026)
by: Tang, Katerina, et al.
Published: (2026)
When correcting for regression to the mean is worse than no correction at all
by: Fontanari, José F., et al.
Published: (2025)
by: Fontanari, José F., et al.
Published: (2025)
Learning dynamical systems with hit-and-run random feature maps
by: Mandal, Pinak, et al.
Published: (2025)
by: Mandal, Pinak, et al.
Published: (2025)
On the choice of the non-trainable internal weights in random feature maps
by: Mandal, Pinak, et al.
Published: (2024)
by: Mandal, Pinak, et al.
Published: (2024)
Towards Continuous-time Causal Foundation Models
by: Thumm, Dennis, et al.
Published: (2026)
by: Thumm, Dennis, et al.
Published: (2026)
A New Method for High-Resolution Dating of Radiocarbon Data: The Example of the First Three Centuries B.C
by: Fürst, Sebastian
Published: (2025)
by: Fürst, Sebastian
Published: (2025)
Similar Items
-
Linear scaling causal discovery from high-dimensional time series by dynamical community detection
by: Allione, Matteo, et al.
Published: (2025) -
Pairwise Distance-Diffusion Analysis (PDDA): A Geometric Framework for Estimating Hurst Exponents in Multivariate Long-Memory Processes
by: Soriano, Diogo C., et al.
Published: (2026) -
Evaluating the Uncertainty in Mean Residual Times: Estimators Based on Residence Times from Discrete Time Processes
by: Sánchez, Hernán R., et al.
Published: (2024) -
Glacier data assimilation on an Arctic glacier: Learning from large ensemble twin experiments
by: Cao, Wenxue, et al.
Published: (2025) -
Thermodynamically rational decision making under uncertainty
by: Daimer, Dorian, et al.
Published: (2023)