Cover Image

Bayesian Multivariate Track Geometry Degradation Modelling and its use in Condition-Based Inspection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Truong-Ba, Huy, Rebello, Sinda, Cholette, Michael E., Reddy, Venkat, Borghesani, Pietro
Format:	Preprint
Published:	2023
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sensor Fusion for Track Geometry Monitoring: Integrating On-Board Condition Monitoring and Degradation Models via Kalman Filtering
by: Truong-Ba, Huy, et al.
Published: (2025)

Coating Breakdown Prediction for Ships and Inspection Planning
by: Truong-Ba, Huy, et al.
Published: (2026)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)

Scenario Analysis with Multivariate Bayesian Machine Learning Models
by: Pfarrhofer, Michael, et al.
Published: (2025)

Semi-physical Gamma-Process Degradation Modeling and Performance-Driven Opportunistic Maintenance Optimization for LED Lighting Systems
by: Shi, Haohao, et al.
Published: (2026)

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

A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)

Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
by: Janicki, Ryan, et al.
Published: (2020)

A Multivariate Copula-based Bayesian Framework for Doping Detection
by: Deliu, Nina, et al.
Published: (2024)

Multivariable Bidirectional Mendelian Randomization via Bayesian Directed Cyclic Graphical Models with Correlated Errors
by: Sarkar, Bitan, et al.
Published: (2025)

Multivariate MRP
by: Goplerud, Max, et al.
Published: (2025)

MR.RGM: An R Package for Fitting Bayesian Multivariate Bidirectional Mendelian Randomization Networks
by: Sarkar, Bitan, et al.
Published: (2024)

Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025)

Bayesian Profile Regression using Variational Inference to Identify Clusters of Multiple Long-Term Conditions Conditioning on Mortality in Population-Scale Data
by: Rafferty, James, et al.
Published: (2026)

Bayesian Mapping of Mortality Clusters
by: Sottosanti, Andrea, et al.
Published: (2024)

Prior Smoothing for Multivariate Disease Mapping Models
by: Retegui, Garazi, et al.
Published: (2026)

A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data
by: Tang, Dandan, et al.
Published: (2025)

Spline Based Methods for Functional Data on Multivariate Domains
by: Basna, Rani, et al.
Published: (2023)

Vine Copulas for Analyzing Multivariate Conditional Dependencies in Electronic Health Records Data
by: Samad, Manar D., et al.
Published: (2026)

Evaluation of onboard sensors for track geometry monitoring against conventional track recording measurements
by: Zhang, Hengcheng, et al.
Published: (2023)

Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
by: Caballero, William N., et al.
Published: (2024)

Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)

Health Prognostics in Multi-sensor Systems Based on Multivariate Functional Data Analysis
by: Yildirim, Cevahir, et al.
Published: (2025)

Likelihood-Free Inference for Multivariate Generalized Pareto Models
by: Aka, Samira, et al.
Published: (2026)

Small Area Estimation Methods for Multivariate Health and Demographic Outcomes using Complex Survey Data
by: Schumacher, Austin E, et al.
Published: (2025)

Modeling Animal Communication Using Multivariate Hawkes Processes with Additive Excitation and Multiplicative Inhibition
by: Kang, Bokgyeong, et al.
Published: (2026)

Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design
by: Wang, Maggie, et al.
Published: (2024)

Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
by: Aschermayr, Patrick, et al.
Published: (2026)

SkipTrack: A Bayesian Hierarchical Model for Self-tracked Menstrual Cycle Length and Regularity in Large Mobile Health Cohorts
by: Duttweiler, Luke, et al.
Published: (2025)

Bayesian Multivariate Approach to Subnational mortality graduation with Age-Varying Smoothness
by: Figueiredo, Luiz F. V., et al.
Published: (2025)

Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)

Partially Observable Markov Decision Process Framework for Operating Condition Optimization Using Real-Time Degradation Signals
by: Xu, Boyang, et al.
Published: (2025)

Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering
by: Ghaderi, Hamid, et al.
Published: (2024)

A Rank-Based Information Fusion Framework for Comparing Clustered Multivariate Socioeconomic Outcomes
by: Ghosh, Dhrubajyoti
Published: (2026)

A Stochastic-MILP dispatch optimization model for Concentrated Solar Thermal under uncertainty
by: Mohammadzadeh, Navid, et al.
Published: (2024)

Estimation of Building Energy Demand Characteristics using Bayesian Statistics and Energy Signature Models
by: Smertinas, Justinas, et al.
Published: (2025)

Spillovers and Co-movements in Multivariate Volatility: A Vector Multiplicative Error Model
by: Otranto, Edoardo, et al.
Published: (2026)

Efficient Bayesian inversion for simultaneous estimation of geometry and spatial field using the Karhunen-Loève expansion
by: Shibata, Tatsuya, et al.
Published: (2024)

Cluster-Based Bayesian SIRD Modeling of Chickenpox Epidemiology in India
by: Mukherjee, Nayana, et al.
Published: (2026)

Monitoring time to event in registry data using CUSUMs based on relative survival models
by: Tran, Jimmy Huy, et al.
Published: (2024)