Cover Image

A Bayesian hierarchical framework for fusion of remote sensing data: An example with solar-induced fluorescence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Johny, Manju, Hobbs, Jonathan, Yadav, Vineet, Johnson, Margaret, Parazoo, Nicholas, Nguyen, Hai, Braverman, Amy
Format:	Preprint
Published:	2025
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forecasting Extreme Temperatures in Siberia Using Supervised Learning and Conformal Prediction Regions
by: Berk, Richard A., et al.
Published: (2025)

An Error Model for Evaluating the Accuracy of Satellite-Based XCO$_2$ Products
by: Yadav, Vineet, et al.
Published: (2025)

Algorithmic Forecasting of Extreme Heat Waves
by: Berk, Richard A., et al.
Published: (2024)

Quantifying sleep apnea heterogeneity using hierarchical Bayesian modeling
by: Palmer, Glenn, et al.
Published: (2025)

A Bayesian hierarchical model for methane emission source apportionment
by: Daniels, William S., et al.
Published: (2025)

Disclosure risk assessment with Bayesian non-parametric hierarchical modelling
by: Battiston, Marco, et al.
Published: (2024)

How reliable are remote sensing maps calibrated over large areas? A matter of scale?
by: Luigui, Andrey Ramirez, et al.
Published: (2024)

A Case Study on Quantifying Reliability under Extreme Risk Constraints in Space Missions
by: Sanderson, Dawn L., et al.
Published: (2024)

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

Detection of land surface albedo changes over Iran using remote sensing data
by: Omid Reza Kefayat Motlagh, et al.
Published: (2024)

A hierarchical Bayesian approach for population-based structural health monitoring in ship hull structures
by: Aravanis, Georgios, et al.
Published: (2025)

Validating remotely sensed biomass estimates with forest inventory data in the western US
by: Cao, Xiuyu, et al.
Published: (2025)

Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy
by: Cao, Zhi, et al.
Published: (2025)

Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
by: Nguyen, Phuc H., et al.
Published: (2025)

A Bayesian hierarchical mixture cure modelling framework to utilize multiple survival datasets for long-term survivorship estimates: A case study from previously untreated metastatic melanoma
by: Green, Nathan, et al.
Published: (2024)

Regression coefficient estimation from remote sensing maps
by: Lu, Kerri, et al.
Published: (2024)

Addressing complex structures of measurement error arising in the exposure assessment in occupational epidemiology using a Bayesian hierarchical approach
by: Rehms, Raphael, et al.
Published: (2025)

Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis
by: Wang, Qiao, et al.
Published: (2024)

A spatiotemporal Bayesian hierarchical model of heat-related mortality in Catalonia, Spain (2012--2022): The role of environmental and socioeconomic modifiers
by: Solano, David, et al.
Published: (2025)

A hierarchical modelling approach for Bayesian Causal Forests on longitudinal data: A Case Study in Multiple Sclerosis Clinical Trials
by: Prevot, Emma, et al.
Published: (2025)

Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models
by: Anis, Mohammad, et al.
Published: (2024)

Bayesian hierarchical non-stationary hybrid modeling for threshold estimation in peak over threshold approach
by: Yue, Quansheng, et al.
Published: (2025)

Robust impact localisation on composite aerostructures using kernel design and Bayesian fusion under environmental and operational uncertainties
by: Xiao, Dong, et al.
Published: (2025)

Predictions of damages from Atlantic tropical cyclones: a hierarchical Bayesian study on extremes
by: Dietz, Lindsey, et al.
Published: (2022)

Comparison of probabilistic nowcasts and forecasts of SARS-CoV-2 variant proportions made by hierarchical multinomial linear regression models
by: MacArthur, Isaac, et al.
Published: (2026)

Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
by: Rustand, Denis, et al.
Published: (2026)

Multivariate reconciliation for hierarchical time series
by: Pinheiro, Ana Caroline, et al.
Published: (2026)

Bayesian feedback in the framework of ecological sciences
by: Figueira-Pereira, Mario, et al.
Published: (2023)

NFL Ghosts: A framework for evaluating defender positioning with conditional density estimation
by: Yurko, Ronald, et al.
Published: (2024)

A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)

Bayesian brain mapping: a population-informed framework for personalized functional network topography and connectivity
by: Sanchez, Nohelia Da Silva, et al.
Published: (2026)

Mapping climate change awareness through spatial hierarchical clustering
by: Zammarchi, Gianpaolo, et al.
Published: (2024)

Bayesian multi-exposure image fusion for robust high dynamic range ptychography
by: Kodgirwar, Shantanu, et al.
Published: (2024)

A Bayesian circular mixed-effects model for explaining variability in directional movement in American football
by: Nguyen, Quang, et al.
Published: (2025)

Evaluating WAIC and PSIS-LOO for Bayesian Diagnostic Classification Model Selection
by: Jung, Ae Kyong, et al.
Published: (2024)

A Bayesian framework for analyzing alleged cheating in sports through hidden codes, with applications to bridge and baseball
by: Boonstra, Aafko, et al.
Published: (2024)

Robust optimal reconciliation for hierarchical time series forecasting with M-estimation
by: Wang, Zhichao, et al.
Published: (2026)

Bayesian Learning of Clinically Meaningful Sepsis Phenotypes in Northern Tanzania
by: Dombowsky, Alexander, et al.
Published: (2024)

BSD: a Bayesian framework for parametric models of neural spectra
by: Medrano, Johan, et al.
Published: (2024)

On clustering levels of a hierarchical categorical risk factor
by: Campo, Bavo D. C., et al.
Published: (2023)