Building a Life Cycle Assessment Model using Bayesian Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Gasmi, Cedric Fraces, Long, Wennan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mesoscopic Bayesian Inference by Solvable Models
by: Katakami, Shun, et al.
Published: (2024)
by: Katakami, Shun, et al.
Published: (2024)
Bayesian Learning of Gas Transport in Three-Dimensional Fracture Networks
by: Shi, Yingqi, et al.
Published: (2023)
by: Shi, Yingqi, et al.
Published: (2023)
Tracking Dynamical Transitions using Link Density of Recurrence Networks
by: Jacob, Rinku, et al.
Published: (2024)
by: Jacob, Rinku, et al.
Published: (2024)
An Assessment of Commonly Used Equivalent Circuit Models for Corrosion Analysis: A Bayesian Approach to Electrochemical Impedance Spectroscopy
by: Zhang, Runze, et al.
Published: (2024)
by: Zhang, Runze, et al.
Published: (2024)
A Bayesian Framework to Investigate Radiation Reaction in Strong Fields
by: Los, E. E., et al.
Published: (2024)
by: Los, E. E., et al.
Published: (2024)
Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
by: Most, Thomas
Published: (2024)
by: Most, Thomas
Published: (2024)
Sparse identification of evolution equations via Bayesian model selection
by: Kroll, Tim W., et al.
Published: (2025)
by: Kroll, Tim W., et al.
Published: (2025)
Bayesian Time-Lapse Full Waveform Inversion using Hamiltonian Monte Carlo
by: de Lima, Paulo Douglas S., et al.
Published: (2023)
by: de Lima, Paulo Douglas S., et al.
Published: (2023)
Surface correlation functions of dead-leaves models
by: Gommes, Cedric J.
Published: (2026)
by: Gommes, Cedric J.
Published: (2026)
Bayesian approach for uncertainty quantification of hybrid spectral unmixing in $γ$-ray spectrometry
by: Phan, Dinh Triem, et al.
Published: (2026)
by: Phan, Dinh Triem, et al.
Published: (2026)
A General Solution for Network Models with Pairwise Edge Coupling
by: Catanzaro, Alessio, et al.
Published: (2025)
by: Catanzaro, Alessio, et al.
Published: (2025)
Model selection for extremal dependence structures using deep learning: Application to environmental data
by: Ahmed, Manaf, et al.
Published: (2024)
by: Ahmed, Manaf, et al.
Published: (2024)
Bayesian Inference with Deep Weakly Nonlinear Networks
by: Hanin, Boris, et al.
Published: (2024)
by: Hanin, Boris, et al.
Published: (2024)
Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Application in Nuclear System Thermal-Hydraulics Codes
by: Wang, Chen, et al.
Published: (2023)
by: Wang, Chen, et al.
Published: (2023)
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
by: Ziatdinov, Maxim
Published: (2024)
by: Ziatdinov, Maxim
Published: (2024)
Flow field tomography with uncertainty quantification using a Bayesian physics-informed neural network
by: Molnar, Joseph P., et al.
Published: (2021)
by: Molnar, Joseph P., et al.
Published: (2021)
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks
by: Pash, Graham, et al.
Published: (2024)
by: Pash, Graham, et al.
Published: (2024)
GPU-Accelerated Sequential Monte Carlo for Bayesian Spectral Analysis
by: Nabika, Tomohiro, et al.
Published: (2026)
by: Nabika, Tomohiro, et al.
Published: (2026)
A Tutorial on Bayesian Analysis of Linear Shock Compression Data
by: Bernstein, Jason, et al.
Published: (2026)
by: Bernstein, Jason, et al.
Published: (2026)
Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
by: Kirouani, Taki
Published: (2024)
by: Kirouani, Taki
Published: (2024)
Bayesian characterization of porous media using three-microphone tube method in extended frequency ranges
by: Chen, Ziqi, et al.
Published: (2026)
by: Chen, Ziqi, et al.
Published: (2026)
PolyStan: PolyChord nested sampling and Bayesian evidences for Stan models
by: Fowlie, Andrew
Published: (2025)
by: Fowlie, Andrew
Published: (2025)
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides
by: Karumuri, Sharmila, et al.
Published: (2023)
by: Karumuri, Sharmila, et al.
Published: (2023)
Non-parametric finite-sample credible intervals with one-dimensional priors: a middle ground between Bayesian and frequentist intervals
by: Ritmeester, Tim
Published: (2026)
by: Ritmeester, Tim
Published: (2026)
Mapping Inter-City Trade Networks to Maximum Entropy Models using Electronic Invoice Data
by: Filho, Cesar I. N. Sampaio, et al.
Published: (2024)
by: Filho, Cesar I. N. Sampaio, et al.
Published: (2024)
TPCpp-10M: Simulated proton-proton collisions in a Time Projection Chamber for AI Foundation Models
by: Li, Shuhang, et al.
Published: (2025)
by: Li, Shuhang, et al.
Published: (2025)
Transition of AI Models in dependence of noise
by: Seidler, Thomas, et al.
Published: (2025)
by: Seidler, Thomas, et al.
Published: (2025)
Bayesian MINFLUX localization microscopy
by: Schultze, Steffen, et al.
Published: (2025)
by: Schultze, Steffen, et al.
Published: (2025)
Elephant random walks with graph based shared memory: First and second order asymptotics
by: Das, Deborshi
Published: (2024)
by: Das, Deborshi
Published: (2024)
On the dynamical evolution of randomness Part A: Random experiments as dynamical systems
by: Lobo, Allen, et al.
Published: (2025)
by: Lobo, Allen, et al.
Published: (2025)
On the dynamical evolution of randomness Part B: Geometrisation and the origin of convergence in LLN
by: Lobo, Allen
Published: (2025)
by: Lobo, Allen
Published: (2025)
Adiabatic Approximation of Coarse Grained Second Order Response
by: Müller, Fenna, et al.
Published: (2022)
by: Müller, Fenna, et al.
Published: (2022)
Bayesian stepwise estimation of qubit rotations
by: Manrique, Mylenne, et al.
Published: (2025)
by: Manrique, Mylenne, et al.
Published: (2025)
Error Breakdown and Sensitivity Analysis of Dynamical Quantities in Markov State Models
by: Tuchkov, Yehor, et al.
Published: (2025)
by: Tuchkov, Yehor, et al.
Published: (2025)
Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation supported by Bayesian Model Analysis
by: Kohlhaas, Rebecca, et al.
Published: (2025)
by: Kohlhaas, Rebecca, et al.
Published: (2025)
Bayesian Hierarchical Models and the Maximum Entropy Principle
by: Brewer, Brendon J.
Published: (2026)
by: Brewer, Brendon J.
Published: (2026)
Effectiveness of Contact Tracing on Networks with Cliques
by: Rizi, Abbas K., et al.
Published: (2023)
by: Rizi, Abbas K., et al.
Published: (2023)
Analysis of neutron time-of-flight spectra with a Bayesian unfolding methodology
by: Fiol, A. Pérez de Rada, et al.
Published: (2024)
by: Fiol, A. Pérez de Rada, et al.
Published: (2024)
Bayesian symbolic regression: Automated equation discovery from a physicists' perspective
by: Guimera, Roger, et al.
Published: (2025)
by: Guimera, Roger, et al.
Published: (2025)
Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
by: Miyatake, Yuto, et al.
Published: (2024)
by: Miyatake, Yuto, et al.
Published: (2024)
Similar Items
-
Mesoscopic Bayesian Inference by Solvable Models
by: Katakami, Shun, et al.
Published: (2024) -
Bayesian Learning of Gas Transport in Three-Dimensional Fracture Networks
by: Shi, Yingqi, et al.
Published: (2023) -
Tracking Dynamical Transitions using Link Density of Recurrence Networks
by: Jacob, Rinku, et al.
Published: (2024) -
An Assessment of Commonly Used Equivalent Circuit Models for Corrosion Analysis: A Bayesian Approach to Electrochemical Impedance Spectroscopy
by: Zhang, Runze, et al.
Published: (2024) -
A Bayesian Framework to Investigate Radiation Reaction in Strong Fields
by: Los, E. E., et al.
Published: (2024)