A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
Fuente:
Zenodo
Saved in:
| Main Authors: | Rinkens, Aricia, da Silva, Rodrigo |
|---|---|
| Format: | Recurso digital |
| Published: |
Zenodo
2025
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
by: Rinkens, Aricia, et al.
Published: (2026)
by: Rinkens, Aricia, et al.
Published: (2026)
Bayesian Model Selection for Complex Flows of Yield Stress Fluids
by: Rinkens, Aricia, et al.
Published: (2026)
by: Rinkens, Aricia, et al.
Published: (2026)
Bayesian cross-validation by parallel Markov Chain Monte Carlo
by: Cooper, Alex, et al.
Published: (2023)
by: Cooper, Alex, et al.
Published: (2023)
Delayed Acceptance Markov Chain Monte Carlo for Robust Bayesian Analysis
by: Tanaka, Masahiro
Published: (2025)
by: Tanaka, Masahiro
Published: (2025)
Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Stability of universal properties against perturbations of the Markov Chain Monte Carlo algorithm
by: Bacci, Matteo, et al.
Published: (2025)
by: Bacci, Matteo, et al.
Published: (2025)
Stereographic Markov Chain Monte Carlo
by: Yang, Jun, et al.
Published: (2022)
by: Yang, Jun, et al.
Published: (2022)
Coreset Markov Chain Monte Carlo
by: Chen, Naitong, et al.
Published: (2023)
by: Chen, Naitong, et al.
Published: (2023)
Gaussian Invariant Markov Chain Monte Carlo
by: Titsias, Michalis K., et al.
Published: (2025)
by: Titsias, Michalis K., et al.
Published: (2025)
Convergence Bounds for Monte Carlo Markov Chains
by: Qin, Qian
Published: (2024)
by: Qin, Qian
Published: (2024)
Markov Chain Monte Carlo Significance Tests
by: Howes, Michael
Published: (2023)
by: Howes, Michael
Published: (2023)
Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm
by: Tancini, Daniele, et al.
Published: (2025)
by: Tancini, Daniele, et al.
Published: (2025)
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)
by: Kowal, Daniel R., et al.
Published: (2023)
Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
by: Volkaerts, Maarten, et al.
Published: (2026)
by: Volkaerts, Maarten, et al.
Published: (2026)
Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
by: Vanmechelen, Pieter, et al.
Published: (2024)
by: Vanmechelen, Pieter, et al.
Published: (2024)
samsara: A Continuous-Time Markov Chain Monte Carlo Sampler for Trans-Dimensional Bayesian Analysis
by: Astorino, Gabriele, et al.
Published: (2025)
by: Astorino, Gabriele, et al.
Published: (2025)
Quantum Markov Chain Monte Carlo for Cosmological Functions
by: Sarracino, Giuseppe, et al.
Published: (2025)
by: Sarracino, Giuseppe, et al.
Published: (2025)
Quantum Annealing Enhanced Markov-Chain Monte Carlo
by: Arai, Shunta, et al.
Published: (2025)
by: Arai, Shunta, et al.
Published: (2025)
Markov Chain Monte Carlo in Tensor Network Representation
by: Todo, Synge
Published: (2024)
by: Todo, Synge
Published: (2024)
An effective introduction to the Markov Chain Monte Carlo method
by: Wang, Wenlong
Published: (2022)
by: Wang, Wenlong
Published: (2022)
Discretization-optimized Bayesian model calibration for nonlinear constitutive modeling in heat conduction
by: Silva, Rodrigo L. S., et al.
Published: (2026)
by: Silva, Rodrigo L. S., et al.
Published: (2026)
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
by: Zhong, Shijie, et al.
Published: (2024)
by: Zhong, Shijie, et al.
Published: (2024)
Multilevel Markov Chain Monte Carlo for Bayesian inverse problems for Navier Stokes equation with Lagrangian Observations
by: Yang, Juntao
Published: (2024)
by: Yang, Juntao
Published: (2024)
Differential privacy guarantees of Markov chain Monte Carlo algorithms
by: Bertazzi, Andrea, et al.
Published: (2025)
by: Bertazzi, Andrea, et al.
Published: (2025)
On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms
by: Pozza, Francesco, et al.
Published: (2024)
by: Pozza, Francesco, et al.
Published: (2024)
A calculus for Markov chain Monte Carlo: studying approximations in algorithms
by: Caprio, Rocco, et al.
Published: (2023)
by: Caprio, Rocco, et al.
Published: (2023)
Accelerated Markov Chain Monte Carlo Algorithms on Discrete States
by: Zhou, Bohan, et al.
Published: (2025)
by: Zhou, Bohan, et al.
Published: (2025)
Acceleration of Parallel Tempering for Markov Chain Monte Carlo methods
by: Ramos, Aingeru, et al.
Published: (2025)
by: Ramos, Aingeru, et al.
Published: (2025)
Complexity of Markov Chain Monte Carlo for Generalized Linear Models
by: Chak, Martin, et al.
Published: (2025)
by: Chak, Martin, et al.
Published: (2025)
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
by: Kim, Hyunsu, et al.
Published: (2025)
by: Kim, Hyunsu, et al.
Published: (2025)
Some aspects of robustness in modern Markov Chain Monte Carlo
by: Power, Sam, et al.
Published: (2025)
by: Power, Sam, et al.
Published: (2025)
Quantum-enhanced Markov Chain Monte Carlo for Combinatorial Optimization
by: Marshall, Kate V., et al.
Published: (2026)
by: Marshall, Kate V., et al.
Published: (2026)
3D Gaussian Splatting as Markov Chain Monte Carlo
by: Kheradmand, Shakiba, et al.
Published: (2024)
by: Kheradmand, Shakiba, et al.
Published: (2024)
Unbiased Markov Chain Monte Carlo: what, why, and how
by: Atchadé, Yves F., et al.
Published: (2024)
by: Atchadé, Yves F., et al.
Published: (2024)
Perturbation Analysis of Markov Chain Monte Carlo for Graphical Models
by: Lin, Na, et al.
Published: (2023)
by: Lin, Na, et al.
Published: (2023)
Phase space sampling with Markov Chain Monte Carlo methods
by: La Cagnina, Salvatore, et al.
Published: (2024)
by: La Cagnina, Salvatore, et al.
Published: (2024)
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo
by: Nabergoj, David, et al.
Published: (2024)
by: Nabergoj, David, et al.
Published: (2024)
Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
by: Schär, Philip, et al.
Published: (2024)
by: Schär, Philip, et al.
Published: (2024)
Gradient-Based Markov Chain Monte Carlo for MIMO Detection
by: Zhou, Xingyu, et al.
Published: (2023)
by: Zhou, Xingyu, et al.
Published: (2023)
Running Markov Chain Monte Carlo on Modern Hardware and Software
by: Sountsov, Pavel, et al.
Published: (2024)
by: Sountsov, Pavel, et al.
Published: (2024)
Similar Items
-
A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
by: Rinkens, Aricia, et al.
Published: (2026) -
Bayesian Model Selection for Complex Flows of Yield Stress Fluids
by: Rinkens, Aricia, et al.
Published: (2026) -
Bayesian cross-validation by parallel Markov Chain Monte Carlo
by: Cooper, Alex, et al.
Published: (2023) -
Delayed Acceptance Markov Chain Monte Carlo for Robust Bayesian Analysis
by: Tanaka, Masahiro
Published: (2025) -
Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
by: Chang, Jinyuan, et al.
Published: (2024)