Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
Fuente:
arXiv
Saved in:
| Main Authors: | Adachi, Masaki, Kuhn, Yannick, Horstmann, Birger, Latz, Arnulf, Osborne, Michael A., Howey, David A. |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature
by: Adachi, Masaki, et al.
Published: (2025)
by: Adachi, Masaki, et al.
Published: (2025)
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting
by: Adachi, Masaki, et al.
Published: (2024)
by: Adachi, Masaki, et al.
Published: (2024)
Bayesian inference on the order of stationary vector autoregressions
by: Binks, Rachel L., et al.
Published: (2023)
by: Binks, Rachel L., et al.
Published: (2023)
Order selection in GARMA models for count time series: a Bayesian perspective
by: Lastra, Katerine Zuniga, et al.
Published: (2024)
by: Lastra, Katerine Zuniga, et al.
Published: (2024)
Looping in the Human Collaborative and Explainable Bayesian Optimization
by: Adachi, Masaki, et al.
Published: (2023)
by: Adachi, Masaki, et al.
Published: (2023)
Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case --
by: Kitagawa, Genshiro
Published: (2026)
by: Kitagawa, Genshiro
Published: (2026)
Open-Ended Task Discovery via Bayesian Optimization
by: Adachi, Masaki, et al.
Published: (2026)
by: Adachi, Masaki, et al.
Published: (2026)
Pair-based estimators of infection and removal rates for stochastic epidemic models
by: Temple, Seth D., et al.
Published: (2026)
by: Temple, Seth D., et al.
Published: (2026)
Hierarchical inference of evidence using posterior samples
by: Rinaldi, Stefano, et al.
Published: (2024)
by: Rinaldi, Stefano, et al.
Published: (2024)
Bayesian nonparametric models for zero-inflated count-compositional data using ensembles of regression trees
by: Menezes, André F. B., et al.
Published: (2026)
by: Menezes, André F. B., et al.
Published: (2026)
Laplace Variational Inference for Bayesian Envelope Models
by: Kim, Seunghyeon, et al.
Published: (2026)
by: Kim, Seunghyeon, et al.
Published: (2026)
Bayesian Cluster Weighted Gaussian Models
by: Papastamoulis, Panagiotis, et al.
Published: (2024)
by: Papastamoulis, Panagiotis, et al.
Published: (2024)
Bayesian Joint Modeling of Interrater and Intrarater Reliability with Multilevel Data
by: Hawila, Nour, et al.
Published: (2024)
by: Hawila, Nour, et al.
Published: (2024)
Response to: "A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference" by Yan et al., 2026
by: Mosegaard, Klaus, et al.
Published: (2026)
by: Mosegaard, Klaus, et al.
Published: (2026)
Bayesian Linear Models: A compact general set of results
by: Christen, J Andres
Published: (2024)
by: Christen, J Andres
Published: (2024)
A Novel Bayesian Extrapolation Design for Assessing Equivalence in Exposure-Response Curves between Pediatric and Adult Populations
by: Cai, Zhongheng, et al.
Published: (2025)
by: Cai, Zhongheng, et al.
Published: (2025)
Bayesian joint quantile autoregression
by: Castillo-Mateo, Jorge, et al.
Published: (2023)
by: Castillo-Mateo, Jorge, et al.
Published: (2023)
Stochastic Volatility under Informative Missingness
by: Zhang, Gehui, et al.
Published: (2025)
by: Zhang, Gehui, et al.
Published: (2025)
Bayesian inference with sources of uncertainty: from confidence modelling to sparse estimation
by: Rosa, Rafael Mouallem, et al.
Published: (2026)
by: Rosa, Rafael Mouallem, et al.
Published: (2026)
Bayesian Dynamic Modeling of Realized Volatility in Financial Asset Price Forecasting
by: Woitschig, Patrick, et al.
Published: (2026)
by: Woitschig, Patrick, et al.
Published: (2026)
A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts
by: Kalina, Jan
Published: (2025)
by: Kalina, Jan
Published: (2025)
A Modified Bayesian Criterion for Model Selection in Mixed and Hierarchical Frameworks
by: Ramirez, Diogenes de Jesus, et al.
Published: (2026)
by: Ramirez, Diogenes de Jesus, et al.
Published: (2026)
Simultaneous Graphical Dynamic Modeling
by: West, Mike, et al.
Published: (2024)
by: West, Mike, et al.
Published: (2024)
Bayesian Estimation and Regularization Techniques in Categorical Data Analysis
by: Kalina, Jan
Published: (2025)
by: Kalina, Jan
Published: (2025)
Testing-driven Variable Selection in Bayesian Modal Regression
by: Duan, Jiasong, et al.
Published: (2025)
by: Duan, Jiasong, et al.
Published: (2025)
Bayesian Analysis of the Beta Regression Model Subject to Linear Inequality Restrictions with Application
by: Seifollahi, Solmaz, et al.
Published: (2024)
by: Seifollahi, Solmaz, et al.
Published: (2024)
Bayesian Optimization for Building Social-Influence-Free Consensus
by: Adachi, Masaki, et al.
Published: (2025)
by: Adachi, Masaki, et al.
Published: (2025)
Is control of type I error rate needed in Bayesian clinical trial designs?
by: Arjas, Elja, et al.
Published: (2023)
by: Arjas, Elja, et al.
Published: (2023)
Inference Functionals and Observation Operators for Distributional Statistical Models
by: Labouriau, R.
Published: (2026)
by: Labouriau, R.
Published: (2026)
A Comparison of the Bayesian Posterior Probability and the Frequentist $p$-Value in Testing Equivalence Hypotheses
by: Ochieng, Daniel
Published: (2025)
by: Ochieng, Daniel
Published: (2025)
A Principled Approach to Bayesian Transfer Learning
by: Bretherton, Adam, et al.
Published: (2025)
by: Bretherton, Adam, et al.
Published: (2025)
Euclidean mirrors and first-order changepoints in network time series
by: Chen, Tianyi, et al.
Published: (2024)
by: Chen, Tianyi, et al.
Published: (2024)
Structured prior distributions for the covariance matrix in latent factor models
by: Heaps, Sarah Elizabeth, et al.
Published: (2022)
by: Heaps, Sarah Elizabeth, et al.
Published: (2022)
Consistent DAG selection for Bayesian causal discovery under general error distributions
by: Chaudhuri, Anamitra, et al.
Published: (2025)
by: Chaudhuri, Anamitra, et al.
Published: (2025)
Consistent Bayesian causal discovery for structural equation models with equal error variances
by: Chaudhuri, Anamitra, et al.
Published: (2025)
by: Chaudhuri, Anamitra, et al.
Published: (2025)
First-order integer-valued autoregressive processes with Generalized Katz innovations
by: Lopez, Ovielt Baltodano, et al.
Published: (2022)
by: Lopez, Ovielt Baltodano, et al.
Published: (2022)
From Noisy News Sentiment Scores to Interpretable Temporal Dynamics: A Bayesian State-Space Model
by: Casals, Ian Carbó
Published: (2026)
by: Casals, Ian Carbó
Published: (2026)
Nonparametric Bayesian analysis for the Galton-Watson process
by: Cannas, Massimo, et al.
Published: (2025)
by: Cannas, Massimo, et al.
Published: (2025)
Bayesian multivariate models for bounded directional data
by: Montesinos-Vazquez, Joel, et al.
Published: (2025)
by: Montesinos-Vazquez, Joel, et al.
Published: (2025)
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis
by: Mostafa, Fahad, et al.
Published: (2025)
by: Mostafa, Fahad, et al.
Published: (2025)
Similar Items
-
Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature
by: Adachi, Masaki, et al.
Published: (2025) -
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting
by: Adachi, Masaki, et al.
Published: (2024) -
Bayesian inference on the order of stationary vector autoregressions
by: Binks, Rachel L., et al.
Published: (2023) -
Order selection in GARMA models for count time series: a Bayesian perspective
by: Lastra, Katerine Zuniga, et al.
Published: (2024) -
Looping in the Human Collaborative and Explainable Bayesian Optimization
by: Adachi, Masaki, et al.
Published: (2023)