:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Wang, Chen
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Applications
Accesso online:	https://arxiv.org/abs/2401.00641
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Application of the Modular Bayesian Approach for Inverse Uncertainty Quantification in Nuclear Thermal-Hydraulics Systems
di: Wang, Chen
Pubblicazione: (2024)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
di: Pintado, Maria F., et al.
Pubblicazione: (2023)

Democratizing Uncertainty Quantification
di: Seelinger, Linus, et al.
Pubblicazione: (2024)

Uncertainty Quantification in CT pulmonary angiography
di: Rambojun, Adwaye M, et al.
Pubblicazione: (2023)

Data Space Inversion for Efficient Predictions and Uncertainty Quantification for Geothermal Models
di: de Beer, Alex, et al.
Pubblicazione: (2024)

Uncertainty Quantification for Agent Based Models: A Tutorial
di: Kimpton, Louise, et al.
Pubblicazione: (2024)

Sensor Informativeness, Identifiability, and Uncertainty in Bayesian Inverse Problems for Structural Health Monitoring
di: Bakeer, Tammam, et al.
Pubblicazione: (2025)

Matrix Factorization-Based Solar Spectral Irradiance Missing Data Imputation with Uncertainty Quantification
di: Ke, Yuxuan, et al.
Pubblicazione: (2025)

Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
di: Akinfenwa, Oluwayomi, et al.
Pubblicazione: (2024)

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
di: Wang, Qingyi, et al.
Pubblicazione: (2023)

Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes
di: Kachabi, Amirreza, et al.
Pubblicazione: (2025)

Variational Inference for Fully Bayesian Hierarchical Linear Models
di: Parra-Aldana, Cristian, et al.
Pubblicazione: (2025)

Bayesian Analysis of Hotel Booking Cancellations: A Hierarchical Modeling Approach
di: Yang, Yingdong
Pubblicazione: (2025)

Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
di: Pan, Soumyakanti, et al.
Pubblicazione: (2023)

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

Bayesian Covariate-Dependent Circadian Modeling of Rest-Activity Rhythms
di: Hadj-Amar, Beniamino, et al.
Pubblicazione: (2025)

Forecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with Discrepancy
di: Wadsworth, Spencer, et al.
Pubblicazione: (2024)

Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
di: Cattaneo, Matias D., et al.
Pubblicazione: (2022)

Bayesian Hierarchical Model for Synthesizing Registry and Survey Data on Female Breast Cancer Prevalence
di: Wang, Qiao, et al.
Pubblicazione: (2024)

From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
di: Zhang, Jiaxin, et al.
Pubblicazione: (2026)

Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
di: Mikhaeil, Jonas, et al.
Pubblicazione: (2024)

MOOSE ProbML: Parallelized Probabilistic Machine Learning and Uncertainty Quantification for Computational Energy Applications
di: Dhulipala, Somayajulu L. N., et al.
Pubblicazione: (2025)

Bayesian Hierarchical Methods for Surveillance of Cervical Dystonia Treatments
di: Baidoo, D., et al.
Pubblicazione: (2025)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
di: Ng, Edwin, et al.
Pubblicazione: (2021)

Bayesian Emulation of Geotechnical Deterioration Curves Using Quadratic and B-Spline Hierarchical Models
di: Oakley, Jordan L., et al.
Pubblicazione: (2024)

PDE-Based Bayesian Hierarchical Modeling for Event Spread, with Application to COVID-19 Infection
di: Cen, Mengqi, et al.
Pubblicazione: (2025)

Learning from Literature: Integrating LLMs and Bayesian Hierarchical Modeling for Oncology Trial Design
di: Gong, Guannan, et al.
Pubblicazione: (2026)

Explaining Differences in Voting Patterns Across Voting Domains Using Hierarchical Bayesian Models
di: Lipman, Erin, et al.
Pubblicazione: (2023)

Identifiability, Observability, Uncertainty and Bayesian System Identification of Epidemiological Models
di: Hjulstad, Jonas
Pubblicazione: (2024)

Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
di: Longjohn, Rachel, et al.
Pubblicazione: (2025)

Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
di: Kosko, Matthew, et al.
Pubblicazione: (2026)

Traffic State Estimation and Uncertainty Quantification at Signalized Intersections with Low Penetration Rate Vehicle Trajectory Data
di: Wang, Xingmin, et al.
Pubblicazione: (2024)

Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
di: Li, Dayi, et al.
Pubblicazione: (2024)

Real-time Bus Travel Time Prediction and Reliability Quantification: A Hybrid Markov Model
di: Sun, Yuran, et al.
Pubblicazione: (2025)

Uncertainty Quantification in Coupled Multiphysics Systems via Gaussian Process Surrogates: Application to Fuel Assembly Bow
di: Abboud, Ali, et al.
Pubblicazione: (2026)

Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
di: Comess, Saskia, et al.
Pubblicazione: (2025)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
di: Zhou, Shijie, et al.
Pubblicazione: (2023)

Bayesian Species Distribution Models using Hierarchical Decomposition Priors
di: Ferrari, Luisa, et al.
Pubblicazione: (2026)

Surrogate Modelling of Proton Dose with Monte Carlo Dropout Uncertainty Quantification
di: Pim, Aaron, et al.
Pubblicazione: (2025)

A Bayesian Hierarchical Framework for Capturing Preference Heterogeneity in Migration Flows
di: Cutuli, Aric, et al.
Pubblicazione: (2024)