Imagen de Portada

Quantifying model prediction sensitivity to model-form uncertainty

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Portone, Teresa, White, Rebekah D., Hart, Joseph L.
Formato:	Preprint
Publicado:	2025
Materias:	Computational Engineering, Finance, and Science Computational Physics Data Analysis, Statistics and Probability Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Multifractality and its sources in the digital currency market
por: Drożdż, Stanisław, et al.
Publicado: (2025)

Detrended cross-correlations and their random matrix limit: an example from the cryptocurrency market
por: Drożdż, Stanisław, et al.
Publicado: (2025)

Inference in the presence of model-form uncertainties: Leveraging a prediction-oriented approach to improve uncertainty characterization
por: White, Rebekah, et al.
Publicado: (2026)

Filtering amplitude dependence of correlation dynamics in complex systems: application to the cryptocurrency market
por: Wątorek, Marcin, et al.
Publicado: (2025)

Correlations versus noise in the NFT market
por: Wątorek, Marcin, et al.
Publicado: (2024)

Characteristics of price related fluctuations in Non-Fungible Token (NFT) market
por: Szydło, Paweł, et al.
Publicado: (2023)

A geometry-aligned multi-fidelity framework for uncertainty quantification of wildfire spread
por: Vogiatzoglou, Konstantinos, et al.
Publicado: (2026)

Physics-Informed Neural Network-based Reliability Analysis of Buried Pipelines
por: Taraghi, Pouya, et al.
Publicado: (2025)

Parameter estimation of structural dynamics with neural operators enabled surrogate modeling
por: Zhou, Mingyuan, et al.
Publicado: (2024)

Markov Chain Monte Carlo with Gaussian Process Emulation for a 1D Hemodynamics Model of CTEPH
por: Kachabi, Amirreza, et al.
Publicado: (2024)

Combination of operational modal analysis algorithms to identify modal parameters of an actual centrifugal compressor
por: Zague, Leandro O., et al.
Publicado: (2024)

Nonparametric Stochastic Subspaces via the Bootstrap for Characterizing Model Error
por: Yadav, Akash, et al.
Publicado: (2025)

Stochastic Subspace via Probabilistic Principal Component Analysis for Characterizing Model Error
por: Yadav, Akash, et al.
Publicado: (2025)

Variational system identification of the partial differential equations governing microstructure evolution in materials: Inference over sparse and spatially unrelated data
por: Wang, Z., et al.
Publicado: (2020)

Evaluation of Performance Measures for Qualifying Flood Models with Satellite Observations
por: Travert, Jean-Paul, et al.
Publicado: (2024)

Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators
por: Thiagarajan, Ponkrshnan, et al.
Publicado: (2025)

Causal Hierarchy in the Financial Market Network -- Uncovered by the Helmholtz-Hodge-Kodaira Decomposition
por: Wand, Tobias, et al.
Publicado: (2024)

Coarse graining correlation matrices according to macrostructures: Financial markets as a paradigm
por: Martínez-Ramos, M. Mijaíl, et al.
Publicado: (2024)

Requirements for Early Quantum Utility and Quantum Utility in the Capacitated Vehicle Routing Problem
por: Onah, Chinonso, et al.
Publicado: (2025)

Certifiable Risk-Based Engineering Design Optimization
por: Chaudhuri, Anirban, et al.
Publicado: (2021)

Control Co-Design Under Uncertainty for Offshore Wind Farms: Optimizing Grid Integration, Energy Storage, and Market Participation
por: Sharma, Himanshu, et al.
Publicado: (2025)

Machine learning for modelling unstructured grid data in computational physics: a review
por: Cheng, Sibo, et al.
Publicado: (2025)

Risk and Reward of Transitioning from a National to a Zonal Electricity Market in Great Britain
por: Franken, Lukas, et al.
Publicado: (2025)

GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
por: Lou, Xiayin, et al.
Publicado: (2024)

Visibility graphs can make money in financial markets
por: Rak, Rafał
Publicado: (2026)

On the performance of sequential Bayesian update for database of diverse tsunami scenarios
por: Nomura, Reika, et al.
Publicado: (2024)

What are You Weighting For? Improved Weights for Gaussian Mixture Filtering With Application to Cislunar Orbit Determination
por: Durant, Dalton, et al.
Publicado: (2024)

Unified Modelling of Infrastructure Asset Performance Deterioration -- a bounded gamma process approach
por: Chen, Wang, et al.
Publicado: (2025)

Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the Gulf of St. Lawrence
por: Spadon, Gabriel, et al.
Publicado: (2025)

Titanic overconfidence -- dark uncertainty can sink hybrid metrology for semiconductor manufacturing
por: Dixson, Ronald G., et al.
Publicado: (2026)

Non-Deterministic Extension of Plasma Wind Tunnel Data Calibrated Model Predictions to Flight Conditions
por: Rostkowski, Przemyslaw, et al.
Publicado: (2024)

Ab initio uncertainty quantification in scattering analysis of microscopy
por: Gu, Mengyang, et al.
Publicado: (2023)

Machine learning based prediction of dynamical clustering in granular gases
por: Sata, Sai Preetham, et al.
Publicado: (2025)

Quantum generative modeling for financial time series with temporal correlations
por: Dechant, David, et al.
Publicado: (2025)

Robust Optimal Experimental Design Accounting for Sensor Failure
por: White, Rebekah, et al.
Publicado: (2026)

Evaluating authorship disambiguation quality through anomaly analysis on researchers' career transition
por: Zhou, Huaxia, et al.
Publicado: (2024)

Potential-energy gating for robust state estimation in bistable stochastic systems
por: Simeone, Luigi
Publicado: (2026)

A graph-space optimal transport FWI approach based on κ-generalized Gaussian distribution
por: da Silva, Sérgio Luiz E. F., et al.
Publicado: (2024)

A Novel Constrained Sampling Method for Efficient Exploration in Materials and Chemical Mixture Design
por: Schenk, Christina, et al.
Publicado: (2024)

Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks
por: Clegg, Lawrence, et al.
Publicado: (2023)