Image de couverture de livre

Calibrating Car-Following Models via Bayesian Dynamic Regression

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Chengyuan, Wang, Wenshuo, Sun, Lijun
Format:	Preprint
Publié:	2023
Sujets:	Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Active Simulation-Based Inference for Scalable Car-Following Model Calibration
par: Kong, Menglin, et autres
Publié: (2026)

Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
par: Zhang, Chengyuan, et autres
Publié: (2024)

Bayesian Calibration of the Intelligent Driver Model
par: Zhang, Chengyuan, et autres
Publié: (2022)

Markov Regime-Switching Intelligent Driver Model for Interpretable Car-Following Behavior
par: Zhang, Chengyuan, et autres
Publié: (2025)

When Context Is Not Enough: Modeling Unexplained Variability in Car-Following Behavior
par: Zhang, Chengyuan, et autres
Publié: (2025)

Exploratory Driving Performance and Car-Following Modeling for Autonomous Shuttles Based on Field Data
par: Favero, Renan, et autres
Publié: (2023)

Elastic Bayesian Model Calibration
par: Francom, Devin, et autres
Publié: (2023)

Bayesian inference for link travel time correlation of a bus route
par: Chen, Xiaoxu, et autres
Publié: (2022)

Modeling Spatio-Temporal Dynamics of Obesity in Italian Regions Via Bayesian Beta Regression
par: Rota, Luciano, et autres
Publié: (2025)

Bayesian Inference of Time-Varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
par: Chen, Xiaoxu, et autres
Publié: (2024)

Bayesian Regression Analysis with the Drift-Diffusion Model
par: Jin, Zekai, et autres
Publié: (2025)

Bayesian spatiotemporal modeling of passenger trip assignment in metro networks
par: Chen, Xiaoxu, et autres
Publié: (2025)

Modeling and Simulation Analysis of Intelligent Vehicle Operating Safety State on Icy and Snowy Roads Based on Car‐Following Theory
par: Xuejing Du, et autres
Publié: (2026)

Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
par: Upton, Elizabeth, et autres
Publié: (2017)

Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression
par: Chen, Xiaoxu, et autres
Publié: (2024)

Modeling Insurance Claims using Bayesian Nonparametric Regression
par: Abadi, Mostafa Shams Esfand, et autres
Publié: (2023)

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
par: Dey, Pritam, et autres
Publié: (2026)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
par: Chen, Tinghua, et autres
Publié: (2024)

On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials
par: Yang, Peng, et autres
Publié: (2026)

Bayesian Sparse Regression for Microbiome-Metabolite Data Integration
par: Jiang, Kai, et autres
Publié: (2026)

Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees
par: Englert, Jacob, et autres
Publié: (2024)

Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
par: Mulgrave, Jami J., et autres
Publié: (2020)

Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
par: Zhang, Danlu, et autres
Publié: (2025)

Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
par: Ma, Guoxuan, et autres
Publié: (2023)

Anti-circulant dynamic mode decomposition with sparsity-promoting for highway traffic dynamics analysis
par: Wang, Xudong, et autres
Publié: (2023)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
par: Li, Qiushuang, et autres
Publié: (2025)

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
par: Katz, Harrison, et autres
Publié: (2025)

Bayesian Dynamic Generalized Additive Model for Mortality during COVID-19 Pandemic
par: Zhang, Wei, et autres
Publié: (2024)

Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
par: Jamshidian, Parsa, et autres
Publié: (2025)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
par: Pintado, Maria F., et autres
Publié: (2023)

A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
par: Katz, Harrison, et autres
Publié: (2023)

Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
par: Florez, Mauro, et autres
Publié: (2024)

Using Drift Diffusion Model to Analyze Cars' Lane Change Decisions behind Heavy Vehicles
par: Li, Nachuan, et autres
Publié: (2025)

Identifying microbial drivers in biological phenotypes with a Bayesian Network Regression model
par: Ozminkowski, Samuel, et autres
Publié: (2022)

Auto-Regressive Standard Precipitation Index: A Bayesian Approach for Drought Characterization
par: Ghosh, Soham, et autres
Publié: (2025)

Bayesian Modeling of Long-Term Dynamics in Indian Temperature Extremes
par: Chakraborty, Chitradipa
Publié: (2025)

False Discovery Rate Control via Data Splitting for Testing-after-Clustering
par: Wang, Lijun, et autres
Publié: (2024)

Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation
par: Savitsky, Terrance D., et autres
Publié: (2024)

Geographically Weighted Regression for Air Quality Low-Cost Sensor Calibration
par: Poggi, Jean-Michel, et autres
Publié: (2025)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
par: Dempsey, Daniel, et autres
Publié: (2024)