Copertina

Global sensitivity analysis with multifidelity Monte Carlo and polynomial chaos expansion for carotid artery haemodynamics

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Schäfer, Friederike, Schiavazzi, Daniele E., Hellevik, Leif Rune, Sturdy, Jacob
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Applications Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Warped multifidelity Gaussian processes for data fusion of skewed environmental data
di: Colombo, Pietro, et al.
Pubblicazione: (2024)

Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques
di: Zanoni, Andrea, et al.
Pubblicazione: (2023)

Synchronized step multilevel Markov chain Monte Carlo
di: Muchandimath, Sanjan C., et al.
Pubblicazione: (2025)

Adaptive tuning of Hamiltonian Monte Carlo methods
di: Akhmatskaya, Elena, et al.
Pubblicazione: (2025)

Understanding the Hamiltonian Monte Carlo through its Physics Fundamentals and Examples
di: Granados, Abraham, et al.
Pubblicazione: (2025)

Adaptive sequential Monte Carlo for structured cross validation in Bayesian hierarchical models
di: Han, Geonhee, et al.
Pubblicazione: (2025)

On the Impact of Monte Carlo Statistical Uncertainty on Surrogate-based Design Optimization
di: Erdem, Omer F., et al.
Pubblicazione: (2025)

Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
di: O'Sullivan, Philip, et al.
Pubblicazione: (2026)

Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis
di: Moustapha, Maliki, et al.
Pubblicazione: (2023)

Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
di: Fadikar, Arindam, et al.
Pubblicazione: (2024)

Saddlepoint Monte Carlo and its Application to Exact Ecological Inference
di: Voldoire, Théo, et al.
Pubblicazione: (2024)

Dynamic SIR/SEIR-like models comprising a time-dependent transmission rate: Hamiltonian Monte Carlo approach with applications to COVID-19
di: Inouzhe, Hristo, et al.
Pubblicazione: (2023)

Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling
di: Meech, James T., et al.
Pubblicazione: (2024)

The Unreasonable Effectiveness of Monte Carlo Simulations in A/B Testing
di: Trencséni, Márton
Pubblicazione: (2024)

A sequential Monte Carlo algorithm for data assimilation problems in ecology
di: Adjei, Kwaku Peprah, et al.
Pubblicazione: (2024)

Improving Pedestrian Safety at Intersections Using Probabilistic Models and Monte Carlo Simulations
di: Bagabaldo, Alben Rome, et al.
Pubblicazione: (2025)

Insights into regression-based cross-temporal forecast reconciliation
di: Girolimetto, Daniele, et al.
Pubblicazione: (2024)

Coherent forecast combination for linearly constrained multiple time series
di: Girolimetto, Daniele, et al.
Pubblicazione: (2024)

The Cambridge Law Corpus: A Dataset for Legal AI Research
di: Östling, Andreas, et al.
Pubblicazione: (2023)

Estimating Racial Disparities When Race is Not Observed
di: McCartan, Cory, et al.
Pubblicazione: (2023)

Environmental policy in the context of complex systems: Statistical optimization and sensitivity analysis for ABMs
di: Munson, Dylan, et al.
Pubblicazione: (2026)

Automated Gating for Flow Cytometry Data Using a Kernel-Smoothed EM Algorithm
di: de Sousa, Farhad, et al.
Pubblicazione: (2025)

Rare event probability estimation for groundwater inverse problems with a two-stage Sequential Monte Carlo approach
di: Friedli, Lea, et al.
Pubblicazione: (2024)

Reliability of Redundant M-Out-Of-N Architectures With Dependent Components: A Comprehensible Approach With Monte Carlo Simulation
di: Julitz, Tim Maurice, et al.
Pubblicazione: (2024)

Diffusion piecewise exponential models for survival extrapolation using Piecewise Deterministic Monte Carlo
di: Hardcastle, Luke, et al.
Pubblicazione: (2025)

Measuring Global Migration Flows using Online Data
di: Chi, Guanghua, et al.
Pubblicazione: (2025)

SDE-based Monte Carlo dose calculation for proton therapy validated against Geant4
di: Dean, Christopher B. C., et al.
Pubblicazione: (2025)

A likelihood-based sensitivity analysis for addressing publication bias in meta-analysis of diagnostic studies using exact likelihood
di: Hu, Taojun, et al.
Pubblicazione: (2024)

Measuring and Modeling Neighborhoods
di: McCartan, Cory, et al.
Pubblicazione: (2021)

Simple Macroeconomic Forecast Distributions for the G7 Economies
di: Becker, Friederike, et al.
Pubblicazione: (2024)

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data
di: Suk, Youmi, et al.
Pubblicazione: (2026)

Relaxation-based importance sampling for structural reliability analysis
di: Xian, Jianhua, et al.
Pubblicazione: (2023)

Comparison of global sensitivity analysis methods for a fire spread model with a segmented characteristic
di: Chen, Shi-Shun, et al.
Pubblicazione: (2024)

COVID anomaly in the correlation analysis of S&P 500 market states
di: Martínez-Ramos, M. Mijaíl, et al.
Pubblicazione: (2023)

Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors
di: Hardcastle, Luke, et al.
Pubblicazione: (2024)

An evaluation of empirical equations for assessing local scour around bridge piers using global sensitivity analysis
di: Gavriel, Gianna, et al.
Pubblicazione: (2026)

Efficient seismic reliability and fragility analysis of lifeline networks using subset simulation
di: Lee, Dongkyu, et al.
Pubblicazione: (2023)

Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events
di: Gao, Chenyin, et al.
Pubblicazione: (2025)

FoReco and FoRecoML: A Unified Toolbox for Forecast Reconciliation in R
di: Girolimetto, Daniele, et al.
Pubblicazione: (2026)

Principled Frequentist Estimation of Racial Disparity in Credit Approval under Unobserved Race
di: Fisher, Sam, et al.
Pubblicazione: (2025)