A general guide in Bayesian and robust Bayesian estimation using Dirichlet processes
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DOI: 10.1007/s00184-019-00737-2
Abstract: In this paper, we investigate Bayesian and robust Bayesian estimation of a wide range of parameters of interest in the context of Bayesian nonparametrics under a broad class of loss functions. Dealing with uncertainty regarding… read more here.
Keywords: dirichlet; bayesian estimation; robust bayesian; general guide ... See more keywords
Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model
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DOI: 10.1016/j.neucom.2020.10.091
Abstract: Non-recurrent traffic congestion (NRTC) usually brings unexpected delays to commuters. Hence, it is critical to accurately detect and recognize the NRTC in a real-time manner. The advancement of road traffic detectors and loop detectors provides… read more here.
Keywords: traffic; framework; tensor; bayesian robust ... See more keywords