Time-variant reliability using time-dependent surrogate models
Fuente:
arXiv
Guardado en:
| Autores principales: | Marelli, Stefano, Schär, Styfen, Sudret, Bruno |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Surrogate modeling with functional nonlinear autoregressive models (F-NARX)
por: Schär, Styfen, et al.
Publicado: (2024)
por: Schär, Styfen, et al.
Publicado: (2024)
mNARX+: A surrogate model for complex dynamical systems using manifold-NARX and automatic feature selection
por: Schär, S., et al.
Publicado: (2025)
por: Schär, S., et al.
Publicado: (2025)
Reliability analysis for data-driven noisy models using active learning
por: Pires, Anderson V., et al.
Publicado: (2024)
por: Pires, Anderson V., et al.
Publicado: (2024)
Comparison of Probabilistic Structural Reliability Methods for Ultimate Limit State Assessment of Wind Turbines
por: Wang, Hong, et al.
Publicado: (2023)
por: Wang, Hong, et al.
Publicado: (2023)
Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis
por: Moustapha, Maliki, et al.
Publicado: (2023)
por: Moustapha, Maliki, et al.
Publicado: (2023)
Surrogate modeling for uncertainty quantification in nonlinear dynamics
por: Marelli, S., et al.
Publicado: (2025)
por: Marelli, S., et al.
Publicado: (2025)
Uncertainty-aware multi-fidelity surrogate modeling with noisy data
por: Giannoukou, Katerina, et al.
Publicado: (2024)
por: Giannoukou, Katerina, et al.
Publicado: (2024)
Probabilistic function-on-function nonlinear autoregressive model for emulation and reliability analysis of dynamical systems
por: Song, Zhouzhou, et al.
Publicado: (2026)
por: Song, Zhouzhou, et al.
Publicado: (2026)
Reliability analysis for non-deterministic limit-states using stochastic emulators
por: Pires, Anderson V., et al.
Publicado: (2024)
por: Pires, Anderson V., et al.
Publicado: (2024)
UQ state-dependent framework for seismic fragility assessment of industrial components
por: Nardin, C., et al.
Publicado: (2024)
por: Nardin, C., et al.
Publicado: (2024)
MF-GLaM: A multifidelity stochastic emulator using generalized lambda models
por: Giannoukou, K., et al.
Publicado: (2025)
por: Giannoukou, K., et al.
Publicado: (2025)
AL-SPCE -- Reliability analysis for nondeterministic models using stochastic polynomial chaos expansions and active learning
por: Pires, A., et al.
Publicado: (2025)
por: Pires, A., et al.
Publicado: (2025)
Effective experience rating for large insurance portfolios via surrogate modeling
por: Calcetero-Vanegas, Sebastian, et al.
Publicado: (2022)
por: Calcetero-Vanegas, Sebastian, et al.
Publicado: (2022)
Dynamic SIR/SEIR-like models comprising a time-dependent transmission rate: Hamiltonian Monte Carlo approach with applications to COVID-19
por: Inouzhe, Hristo, et al.
Publicado: (2023)
por: Inouzhe, Hristo, et al.
Publicado: (2023)
A mover-stayer model with time-dependent stayer fraction
por: Musta, Eni, et al.
Publicado: (2025)
por: Musta, Eni, et al.
Publicado: (2025)
A sampling method based on highest density regions: Applications to surrogate models for rare events estimation
por: Minini, Jocelyn, et al.
Publicado: (2025)
por: Minini, Jocelyn, et al.
Publicado: (2025)
High-dimensional reliability-based design optimization using stochastic emulators
por: Moustapha, M., et al.
Publicado: (2026)
por: Moustapha, M., et al.
Publicado: (2026)
Structured Learning in Time-dependent Cox Models
por: Wang, Guanbo, et al.
Publicado: (2023)
por: Wang, Guanbo, et al.
Publicado: (2023)
Analysis of multivariate event times under informative censoring using vine copula
por: Chen, Xinyuan, et al.
Publicado: (2025)
por: Chen, Xinyuan, et al.
Publicado: (2025)
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
por: Adin, A., et al.
Publicado: (2023)
por: Adin, A., et al.
Publicado: (2023)
Robust Bayesian approach for reliability prognosis of nondestructive one-shot devices under cumulative risk model
por: Baghel, Shanya, et al.
Publicado: (2024)
por: Baghel, Shanya, et al.
Publicado: (2024)
Enhancing parameter estimation in finite mixture of generalized normal distributions
por: Duttilo, Pierdomenico, et al.
Publicado: (2024)
por: Duttilo, Pierdomenico, et al.
Publicado: (2024)
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
por: Wang, Xinming, et al.
Publicado: (2024)
por: Wang, Xinming, et al.
Publicado: (2024)
Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices
por: Gioia, Vincenzo, et al.
Publicado: (2025)
por: Gioia, Vincenzo, et al.
Publicado: (2025)
Bayesian calendar-time survival analysis with epidemic curve priors and variant-specific infection hazards
por: Dahl, Angela M, et al.
Publicado: (2026)
por: Dahl, Angela M, et al.
Publicado: (2026)
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
por: Rustand, Denis, et al.
Publicado: (2022)
por: Rustand, Denis, et al.
Publicado: (2022)
Clustering of multivariate tail dependence using conditional methods
por: O'Toole, Patrick, et al.
Publicado: (2025)
por: O'Toole, Patrick, et al.
Publicado: (2025)
Finite mixture copulas for modeling dependence in longitudinal count data
por: Chattopadhyay, Subhajit
Publicado: (2024)
por: Chattopadhyay, Subhajit
Publicado: (2024)
Efficient Inference in First Passage Time Models
por: Liu, Sicheng, et al.
Publicado: (2025)
por: Liu, Sicheng, et al.
Publicado: (2025)
Efficient estimation of cumulative incidence curves via data fusion with surrogates: application to integrated analysis of vaccine trial and immunobridging data
por: Zhao, Pan, et al.
Publicado: (2026)
por: Zhao, Pan, et al.
Publicado: (2026)
Granger Causality in High-Dimensional Networks of Time Series
por: Aslan, Sipan, et al.
Publicado: (2024)
por: Aslan, Sipan, et al.
Publicado: (2024)
Smoothing Variances Across Time: Adaptive Stochastic Volatility
por: Cho, Jason B., et al.
Publicado: (2024)
por: Cho, Jason B., et al.
Publicado: (2024)
Monitoring time to event in registry data using CUSUMs based on relative survival models
por: Tran, Jimmy Huy, et al.
Publicado: (2024)
por: Tran, Jimmy Huy, et al.
Publicado: (2024)
Coherent forecast combination for linearly constrained multiple time series
por: Girolimetto, Daniele, et al.
Publicado: (2024)
por: Girolimetto, Daniele, et al.
Publicado: (2024)
Time-Averaged Drift Approximations are Inconsistent for Inference in Drift Diffusion Models
por: Liu, Sicheng, et al.
Publicado: (2025)
por: Liu, Sicheng, et al.
Publicado: (2025)
Joining and splitting models with Markov melding
por: Goudie, Robert J. B., et al.
Publicado: (2016)
por: Goudie, Robert J. B., et al.
Publicado: (2016)
A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output
por: Gong, Wenlong, et al.
Publicado: (2025)
por: Gong, Wenlong, et al.
Publicado: (2025)
Tree models for covariate-dependent method agreement with repeated measurements in clinical research
por: Karapetyan, Siranush, et al.
Publicado: (2026)
por: Karapetyan, Siranush, et al.
Publicado: (2026)
A Bayesian multivariate model with temporal dependence on random partition of areal data
por: Pavani, Jessica, et al.
Publicado: (2024)
por: Pavani, Jessica, et al.
Publicado: (2024)
Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
por: André, Lídia M., et al.
Publicado: (2025)
por: André, Lídia M., et al.
Publicado: (2025)
Ejemplares similares
-
Surrogate modeling with functional nonlinear autoregressive models (F-NARX)
por: Schär, Styfen, et al.
Publicado: (2024) -
mNARX+: A surrogate model for complex dynamical systems using manifold-NARX and automatic feature selection
por: Schär, S., et al.
Publicado: (2025) -
Reliability analysis for data-driven noisy models using active learning
por: Pires, Anderson V., et al.
Publicado: (2024) -
Comparison of Probabilistic Structural Reliability Methods for Ultimate Limit State Assessment of Wind Turbines
por: Wang, Hong, et al.
Publicado: (2023) -
Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis
por: Moustapha, Maliki, et al.
Publicado: (2023)