Imagen de Portada

A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Nazemi, Shayan, Labbe, Aurélie, Steiner, Stefan, Jeganathan, Pratheepa, Trépanier, Martin, Belzile, Léo R.
Formato:	Preprint
Publicado:	2026
Materias:	Applications Methodology Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Scalable Spatiotemporal Modeling for Bicycle Count Prediction
por: Yadav, Rishikesh, et al.
Publicado: (2025)

Sparse Seemingly Unrelated Regression (SSUR) Copula Mixed Models for Multivariate Loss Reserving
por: Cai, Pengfei, et al.
Publicado: (2025)

How long should a block be?
por: Belzile, Léo R., et al.
Publicado: (2026)

A Robust Nonparametric Framework for Detecting Repeated Spatial Patterns
por: Senanayake, Rajitha, et al.
Publicado: (2025)

Recurrent Neural Networks for Multivariate Loss Reserving and Risk Capital Analysis
por: Cai, Pengfei, et al.
Publicado: (2024)

A Bayesian Framework for Causal Analysis of Recurrent Events with Timing Misalignment
por: Oganisian, Arman, et al.
Publicado: (2023)

Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
por: Wu, Yufei, et al.
Publicado: (2024)

Risk-Adjusted learning curve assessment using comparative probability metrics
por: Nadi, Adel Ahmadi, et al.
Publicado: (2025)

Investigating the performance of the Phase II Hotelling T2 chart when monitoring multivariate time series observations
por: Nadi, Adel Ahmadi, et al.
Publicado: (2025)

Scalable Spatiotemporal Prediction with Bayesian Neural Fields
por: Saad, Feras, et al.
Publicado: (2024)

Post Launch Evaluation of Policies in a High-Dimensional Setting
por: Nassiri, Shima, et al.
Publicado: (2024)

A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
por: Cui, Elvis Han, et al.
Publicado: (2025)

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
por: Zeng, Cheng, et al.
Publicado: (2025)

Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
por: Arai, Yamato, et al.
Publicado: (2025)

Sample Efficient Bayesian Learning of Causal Graphs from Interventions
por: Zhou, Zihan, et al.
Publicado: (2024)

Bayesian temporal biclustering with applications to multi-subject neuroscience studies
por: Ricci, Federica Zoe, et al.
Publicado: (2024)

Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
por: Stone, Adam J., et al.
Publicado: (2025)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
por: Saxena, Manan, et al.
Publicado: (2024)

A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
por: Fisher, Jared D., et al.
Publicado: (2024)

Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
por: Zhu, Yu, et al.
Publicado: (2025)

DiPPER: A Bayesian approach to differential prevalence analysis with applications in microbiome studies
por: Pelto, Juho, et al.
Publicado: (2026)

Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
por: Lungu, Valentinian, et al.
Publicado: (2022)

Bayesian Modeling and Prediction of Generalized Contact Matrices
por: Dan, Shozen, et al.
Publicado: (2026)

Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
por: Jonker, Marianne A., et al.
Publicado: (2023)

A Bayesian Framework for Multivariate Differential Analysis
por: Chion, Marie, et al.
Publicado: (2023)

Influence Networks: Bayesian Modeling and Diffusion
por: Sánchez-Gutiérrez, Samuel, et al.
Publicado: (2024)

MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
por: Meng, Xianghao, et al.
Publicado: (2026)

PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
por: Asenso, Theophilus Quachie, et al.
Publicado: (2026)

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
por: Meng, Xianghao, et al.
Publicado: (2026)

Bayesian Multivariate Density-Density Regression
por: Nguyen, Khai, et al.
Publicado: (2025)

A Unified Bayesian Framework for Mortality Model Selection
por: Diana, Alex, et al.
Publicado: (2024)

A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
por: Fazeli-Asl, Forough, et al.
Publicado: (2023)

Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
por: Boschi, Martina, et al.
Publicado: (2025)

Conformal Selective Prediction with General Risk Control
por: Bai, Tian, et al.
Publicado: (2026)

Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
por: Geng, Jialiang, et al.
Publicado: (2025)

Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
por: Pramanik, Sandipan, et al.
Publicado: (2025)

Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
por: Goh, Yong Chen, et al.
Publicado: (2024)

Conflict Forecasting via Conformal Prediction for Markov Processes
por: Basarkar, Aditya, et al.
Publicado: (2026)

A Honest Cross-Validation Estimator for Prediction Performance
por: Pan, Tianyu, et al.
Publicado: (2025)

Predicting Electricity Consumption with Random Walks on Gaussian Processes
por: Hashimoto-Cullen, Chloé, et al.
Publicado: (2024)