A Bayesian model to assess rail track geometry degradation through its life-cycle

Author:

Andrade António Ramos,Teixeira Paulo Fonseca

Publisher

Elsevier BV

Subject

Economics, Econometrics and Finance (miscellaneous),Transportation

Reference31 articles.

1. Andrade, A. (2008). Renewal decisions from a Life-cycle Cost (LCC) Perspective in railway infrastructure: an integrative approach using separate LCC models for rail and ballast components. M.Sc Thesis (Supervisor: Paulo Fonseca Teixeira), Technical University of Lisbon (IST), Lisbon, Portugal.

2. Uncertainty in rail track geometry degradation: Lisbon-Oporto line case study;Andrade;Journal of Transportation Engineering,2011

3. An introduction to MCMC for machine learning;Andrieu;Machine Learning,2003

4. Bernardo, J. M. (2003). Bayesian statistics. Updated and abridged version of the Chapter ‘Bayesian statistics’ published in Probability and Statistics (R. Viertl, Ed.) of the Encyclopedia of Life Support Systems (EOLSS). Oxford, UK: UNESCO.

5. Introduction to probability;Bertsekas,2002

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