Bayesian calibration of stochastic agent based model via random forest
Fuente:
arXiv
Saved in:
| Main Authors: | Robertson, Connor, Safta, Cosmin, Collier, Nicholson, Ozik, Jonathan, Ray, Jaideep |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates
by: Robertson, Connor, et al.
Published: (2025)
by: Robertson, Connor, et al.
Published: (2025)
Bayesian Calibration of Stochastic Agent Based Model via Random Forest
by: Connor Robertson, et al.
Published: (2025)
by: Connor Robertson, et al.
Published: (2025)
Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling
by: Safta, Cosmin, et al.
Published: (2024)
by: Safta, Cosmin, et al.
Published: (2024)
Detecting Outbreaks Using a Latent Field: Part II -- Scalable Estimation
by: Bridgman, Wyatt, et al.
Published: (2024)
by: Bridgman, Wyatt, et al.
Published: (2024)
Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package
by: O'Gara, David, et al.
Published: (2026)
by: O'Gara, David, et al.
Published: (2026)
Bifidelity Karhunen-Loève Expansion Surrogate with Active Learning for Random Fields
by: Jivani, Aniket, et al.
Published: (2025)
by: Jivani, Aniket, et al.
Published: (2025)
Enforcing tail calibration when training probabilistic forecast models
by: Wessel, Jakob Benjamin, et al.
Published: (2025)
by: Wessel, Jakob Benjamin, et al.
Published: (2025)
Targeted tuning of random forests for quantile estimation and prediction intervals
by: Berkowitz, Matthew, et al.
Published: (2025)
by: Berkowitz, Matthew, et al.
Published: (2025)
Partially stochastic deep learning with uncertainty quantification for model predictive heating control
by: Hannula, Emma, et al.
Published: (2025)
by: Hannula, Emma, et al.
Published: (2025)
Bayesian Inference on Brain-Computer Interfaces via GLASS
by: Zhao, Bangyao, et al.
Published: (2023)
by: Zhao, Bangyao, et al.
Published: (2023)
A weighted-likelihood framework for class imbalance in Bayesian prediction models
by: Lazic, Stanley E.
Published: (2025)
by: Lazic, Stanley E.
Published: (2025)
Identification of physiological shock in intensive care units via Bayesian regime switching models
by: Kendall, Emmett B., et al.
Published: (2026)
by: Kendall, Emmett B., et al.
Published: (2026)
Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networks
by: Iannario, Maria, et al.
Published: (2025)
by: Iannario, Maria, et al.
Published: (2025)
Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
by: Fadikar, Arindam, et al.
Published: (2024)
by: Fadikar, Arindam, et al.
Published: (2024)
Uncertainty-Aware Sparse Identification of Dynamical Systems via Bayesian Model Averaging
by: Kashiwamura, Shuhei, et al.
Published: (2026)
by: Kashiwamura, Shuhei, et al.
Published: (2026)
Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)
by: Hu, Tianzuo
Published: (2025)
by: Hu, Tianzuo
Published: (2025)
Prognostics of Multisensor Systems with Unknown and Unlabeled Failure Modes via Bayesian Nonparametric Process Mixtures
by: Fu, Kani, et al.
Published: (2026)
by: Fu, Kani, et al.
Published: (2026)
Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering
by: Valleggi, Lorenzo, et al.
Published: (2023)
by: Valleggi, Lorenzo, et al.
Published: (2023)
Shared Keyboard: An improved Bayesian design for phase I clinical trials via Beta kernel process
by: Zhao, Jiangyan, et al.
Published: (2026)
by: Zhao, Jiangyan, et al.
Published: (2026)
Singular Bayesian Neural Networks
by: Toure, Mame Diarra, et al.
Published: (2026)
by: Toure, Mame Diarra, et al.
Published: (2026)
Probabilistic Digital Twin for Misspecified Structural Dynamical Systems via Latent Force Modeling and Bayesian Neural Networks
by: Kashyap, Sahil, et al.
Published: (2025)
by: Kashyap, Sahil, et al.
Published: (2025)
Uncertainty quantification in automated valuation models with spatially weighted conformal prediction
by: Hjort, Anders, et al.
Published: (2023)
by: Hjort, Anders, et al.
Published: (2023)
Data reuse enables cost-efficient randomized trials of medical AI models
by: Nercessian, Michael, et al.
Published: (2025)
by: Nercessian, Michael, et al.
Published: (2025)
Improving Geopolitical Forecasts with Bayesian Networks
by: Martin, Matthew
Published: (2026)
by: Martin, Matthew
Published: (2026)
Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
by: Jonker, Marianne A, et al.
Published: (2024)
by: Jonker, Marianne A, et al.
Published: (2024)
An early warning indicator trained on stochastic disease-spreading models with different noises
by: Chakraborty, Amit K., et al.
Published: (2024)
by: Chakraborty, Amit K., et al.
Published: (2024)
Implicit Generative Prior for Bayesian Neural Networks
by: Liu, Yijia, et al.
Published: (2024)
by: Liu, Yijia, et al.
Published: (2024)
Efficient Model Compression for Bayesian Neural Networks
by: Saha, Diptarka, et al.
Published: (2024)
by: Saha, Diptarka, et al.
Published: (2024)
Bayesian Hybrid Machine Learning of Gallstone Risk
by: Chakraborty, Chitradipa, et al.
Published: (2025)
by: Chakraborty, Chitradipa, et al.
Published: (2025)
Validating remotely sensed biomass estimates with forest inventory data in the western US
by: Cao, Xiuyu, et al.
Published: (2025)
by: Cao, Xiuyu, et al.
Published: (2025)
Bayesian CART models for aggregate claim modeling
by: Zhang, Yaojun, et al.
Published: (2024)
by: Zhang, Yaojun, et al.
Published: (2024)
Bayesian Structural Model Updating with Multimodal Variational Autoencoder
by: Itoi, Tatsuya, et al.
Published: (2024)
by: Itoi, Tatsuya, et al.
Published: (2024)
Bayesian algorithmic perfumery: A Hierarchical Relevance Vector Machine for the Estimation of Personalized Fragrance Preferences based on Three Sensory Layers and Jungian Personality Archetypes
by: Martinez, Rolando Gonzales
Published: (2024)
by: Martinez, Rolando Gonzales
Published: (2024)
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
by: Chakraborty, Anirban, et al.
Published: (2024)
by: Chakraborty, Anirban, et al.
Published: (2024)
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation
by: Lennon, Connor, et al.
Published: (2025)
by: Lennon, Connor, et al.
Published: (2025)
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023)
by: Jonker, Marianne A., et al.
Published: (2023)
Variational Bayesian surrogate modelling with application to robust design optimisation
by: Archbold, Thomas A., et al.
Published: (2024)
by: Archbold, Thomas A., et al.
Published: (2024)
PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
by: Asenso, Theophilus Quachie, et al.
Published: (2026)
by: Asenso, Theophilus Quachie, et al.
Published: (2026)
JaxSGMC: Modular stochastic gradient MCMC in JAX
by: Thaler, Stephan, et al.
Published: (2025)
by: Thaler, Stephan, et al.
Published: (2025)
More Options for Prelabor Rupture of Membranes, A Bayesian Analysis
by: Klein, Ashley, et al.
Published: (2024)
by: Klein, Ashley, et al.
Published: (2024)
Similar Items
-
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates
by: Robertson, Connor, et al.
Published: (2025) -
Bayesian Calibration of Stochastic Agent Based Model via Random Forest
by: Connor Robertson, et al.
Published: (2025) -
Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling
by: Safta, Cosmin, et al.
Published: (2024) -
Detecting Outbreaks Using a Latent Field: Part II -- Scalable Estimation
by: Bridgman, Wyatt, et al.
Published: (2024) -
Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package
by: O'Gara, David, et al.
Published: (2026)