Chih-Yuan Chu

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We present state-space specifications of time series models as a framework to formulate dynamic performance models for transportation facilities, and to estimate them using panel data sets. The framework provides a flexible and rigorous approach to simultaneously capture the effect of serial dependence and of exogenous factors, while controlling for(More)
We consider state-space specifications of autoregressive moving average models (ARMA) and structural time series models as a framework to formulate and estimate inspection and deterioration models for transportation infrastructure facilities. The framework provides a rigorous approach to exploit the abundance and breadth of condition data generated by(More)
We propose state-space specifications of autoregressive moving average models and structural time series models as a framework to develop and estimate incremental performance/deterioration models for transportation infrastructure facilities. State-space specifications are consistent with the latent performance modeling approach of (1), which means that they(More)
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