Search results for " Latent Class Model"
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Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R
2019
Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are multiple parallel sequences per subject. Hidden (latent) Markov models (HMMs) are able to detect underlying latent structures and they can be used in various longitudinal settings: to account for measurement error, to detect unobservable states, or to compress information across several types of observations. Extending to mixture hidden Markov models (MHMMs) allows clustering data into homogeneous subsets, with or without external covariate…
Latent Class Model to Test the Preferences Heterogeneity in the Perceived Information by Public Transport Users
2012
The aim of analysis is to understand as not reliable information influence the user behaviour and how much disincentive the public transport use. For this purpose, a Stated Preference Survey has been carried out in order to know the preferences of public transport users related to information needs and uncertainty on the information provided by Advanced Traveller Information System (ATIS). The perceived uncertainty is defined as the information accuracy. In our study, it was considered the difference between forecasted or scheduled waiting time at the bus stop and/or metro station provided by ATIS, and experienced one by user, to catch the bus and/or metro respectively. A questionnaire has …