Bayesian Inference with Markov Chain Monte Carlo–Based Numerical Approach for Input Model Updating
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000862
Abstract: AbstractStochastic, discrete-event simulation modeling has emerged as a useful tool for facilitating decision making in construction. Owing to the rigidity inherent to distribution-based inputs, cu... read more here.
Keywords: bayesian inference; inference markov; monte carlo; markov chain ... See more keywords
NONPARAMETRIC INFERENCE FOR MARKOV PROCESSES WITH MISSING ABSORBING STATE.
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DOI: 10.5705/ss.202017.0175
Abstract: This paper deals with the issue of nonparametric estimation of the transition probability matrix of a non-homogeneous Markov process with finite state space and partially observed absorbing state. We impose a missing at random assumption… read more here.
Keywords: nonparametric inference; inference markov; missing absorbing; state ... See more keywords