Hybrid Latent Variable Modeling of High Dimensional Time Series Data
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DOI: 10.1016/j.ifacol.2018.09.215
Abstract: Abstract This paper is concerned with high dimensional time series data analytics based on hybrid dynamic and static latent variable modeling. Application areas can include industrial data analytics, dynamic feature extraction, econometric data modeling, image… read more here.
Keywords: high dimensional; dimensional time; time series; latent ... See more keywords
New approaches to cognitive work analysis through latent variable modeling in mining operations
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DOI: 10.1016/j.ijmst.2019.06.014
Abstract: Abstract This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry. Latent variable modeling, which is a statistical model that relates observable and latent variables, could… read more here.
Keywords: latent variable; latent; mining; variable modeling ... See more keywords