Saved in:
| Main Author: | Everitt, Richard G |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.18721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improved MCMC with active subspaces
by: Ripoli, Leonardo, et al.
Published: (2025)
by: Ripoli, Leonardo, et al.
Published: (2025)
The inverse Kalman filter
by: Fang, Xinyi, et al.
Published: (2024)
by: Fang, Xinyi, et al.
Published: (2024)
Inference for Diffusion Processes via Controlled Sequential Monte Carlo and Splitting Schemes
by: Huang, Shu, et al.
Published: (2025)
by: Huang, Shu, et al.
Published: (2025)
Component-wise approximate Bayesian computation via Gibbs-like steps
by: Clarté, Grégoire, et al.
Published: (2019)
by: Clarté, Grégoire, et al.
Published: (2019)
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
by: Pesonen, Henri, et al.
Published: (2023)
by: Pesonen, Henri, et al.
Published: (2023)
Generalized Bayesian deep reinforcement learning
by: Roy, Shreya Sinha, et al.
Published: (2024)
by: Roy, Shreya Sinha, et al.
Published: (2024)
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
by: Legramanti, Sirio, et al.
Published: (2022)
by: Legramanti, Sirio, et al.
Published: (2022)
Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
by: Li, Wentao, et al.
Published: (2024)
by: Li, Wentao, et al.
Published: (2024)
Bayesian Inference of Reproduction Number from Epidemiological and Genetic Data Using Particle MCMC
by: Gill, Alicia, et al.
Published: (2023)
by: Gill, Alicia, et al.
Published: (2023)
High Dimensional Ensemble Kalman Filter
by: Wang, Shouxia, et al.
Published: (2025)
by: Wang, Shouxia, et al.
Published: (2025)
Calibration procedures for approximate Bayesian credible sets
by: Lee, Jeong Eun, et al.
Published: (2018)
by: Lee, Jeong Eun, et al.
Published: (2018)
Vecchia approximated Bayesian heteroskedastic Gaussian processes
by: Patil, Parul V., et al.
Published: (2025)
by: Patil, Parul V., et al.
Published: (2025)
Bayesian score calibration for approximate models
by: Bon, Joshua J, et al.
Published: (2022)
by: Bon, Joshua J, et al.
Published: (2022)
Variational approximate penalized credible regions for Bayesian grouped regression
by: Yu, Weichang, et al.
Published: (2026)
by: Yu, Weichang, et al.
Published: (2026)
Scalable Bayesian computation for crossed and nested hierarchical models
by: Papaspiliopoulos, Omiros, et al.
Published: (2021)
by: Papaspiliopoulos, Omiros, et al.
Published: (2021)
The Ensemble Kalman Filter for Dynamic Inverse Problems
by: Weissmann, Simon, et al.
Published: (2024)
by: Weissmann, Simon, et al.
Published: (2024)
Random spanning tree Markov random field priors for Bayesian inverse problems in imaging
by: Everink, Jasper Marijn
Published: (2026)
by: Everink, Jasper Marijn
Published: (2026)
Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes
by: Waxman, Daniel, et al.
Published: (2025)
by: Waxman, Daniel, et al.
Published: (2025)
Bayesian sparse principal coordinates analysis with delta-tolerant linear approximation for microbiome data
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
Ensemble Kalman filter meets model predictive control in chaotic systems
by: Sawada, Yohei
Published: (2024)
by: Sawada, Yohei
Published: (2024)
Nested ensemble Kalman filter for static parameter inference in nonlinear state-space models
by: Golightly, Andrew, et al.
Published: (2025)
by: Golightly, Andrew, et al.
Published: (2025)
Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation
by: Tong, Xin T., et al.
Published: (2026)
by: Tong, Xin T., et al.
Published: (2026)
Estimation of large approximate dynamic matrix factor models based on the EM algorithm and Kalman filtering
by: Barigozzi, Matteo, et al.
Published: (2025)
by: Barigozzi, Matteo, et al.
Published: (2025)
Network inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model
by: Ditlevsen, Susanne, et al.
Published: (2023)
by: Ditlevsen, Susanne, et al.
Published: (2023)
Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
by: Ye, Shengbin, et al.
Published: (2025)
by: Ye, Shengbin, et al.
Published: (2025)
Sequential design for surrogate modeling in Bayesian inverse problems
by: Lartaud, Paul, et al.
Published: (2024)
by: Lartaud, Paul, et al.
Published: (2024)
Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025)
by: Sadatsafavi, Mohsen, et al.
Published: (2025)
Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization
by: Ghattas, Omar Al, et al.
Published: (2022)
by: Ghattas, Omar Al, et al.
Published: (2022)
Estimating the Effective Sample Size for an inverse problem in subsurface flows
by: Seiffert, Lucas, et al.
Published: (2024)
by: Seiffert, Lucas, et al.
Published: (2024)
Ensemble Doubly Robust Bayesian Inference via Regression Synthesis
by: Babasaki, Kaoru, et al.
Published: (2024)
by: Babasaki, Kaoru, et al.
Published: (2024)
Computationally efficient variational-like approximations of possibilistic inferential models
by: Cella, Leonardo, et al.
Published: (2024)
by: Cella, Leonardo, et al.
Published: (2024)
Sparse Bayesian multidimensional scaling(s)
by: Sheth, Ami, et al.
Published: (2024)
by: Sheth, Ami, et al.
Published: (2024)
Sampling the Bayesian Elastic Net
by: Hans, Christopher M., et al.
Published: (2024)
by: Hans, Christopher M., et al.
Published: (2024)
Compressed Bayesian Tensor Regression
by: Casarin, Roberto, et al.
Published: (2025)
by: Casarin, Roberto, et al.
Published: (2025)
Robustifying Approximate Bayesian Computation
by: Weerasinghe, Chaya, et al.
Published: (2025)
by: Weerasinghe, Chaya, et al.
Published: (2025)
Generative Quantile Bayesian Prediction
by: Nareklishvili, Maria, et al.
Published: (2025)
by: Nareklishvili, Maria, et al.
Published: (2025)
Hierarchical Bayesian data selection
by: Cotter, Simon L.
Published: (2022)
by: Cotter, Simon L.
Published: (2022)
hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data
by: Alt, Ethan M., et al.
Published: (2025)
by: Alt, Ethan M., et al.
Published: (2025)
A fast, flexible simulation framework for Bayesian adaptive designs -- the R package BATSS
by: Couturier, Dominique-Laurent, et al.
Published: (2024)
by: Couturier, Dominique-Laurent, et al.
Published: (2024)
Laplace and skew-Laplace approximations for Dirichlet process mixture posterior density
by: Franzolini, Beatrice, et al.
Published: (2026)
by: Franzolini, Beatrice, et al.
Published: (2026)
Similar Items
-
Improved MCMC with active subspaces
by: Ripoli, Leonardo, et al.
Published: (2025) -
The inverse Kalman filter
by: Fang, Xinyi, et al.
Published: (2024) -
Inference for Diffusion Processes via Controlled Sequential Monte Carlo and Splitting Schemes
by: Huang, Shu, et al.
Published: (2025) -
Component-wise approximate Bayesian computation via Gibbs-like steps
by: Clarté, Grégoire, et al.
Published: (2019) -
Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
by: Pesonen, Henri, et al.
Published: (2023)