Latent class modeling has proven to be a powerful tool for identifying regimes in time series. Here, we focus on the classification uncertainty in latent class modeling of time series data with emphasis on entropy-based measures of uncertainty. Results are illustrated with an example. © Springer International Publishing Switzerland 2013.
CITATION STYLE
Dias, J. G. (2013). Latent class models of time series data: An entropic-based uncertainty measure. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 205–214). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-319-00035-0_20
Mendeley helps you to discover research relevant for your work.