A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership.
Hugues MoreauEtienne CômeAllou SaméLatifa OukhellouPublished in: CoRR (2024)
Keyphrases
- mixture model
- public transport
- model selection
- gaussian mixture model
- generative model
- probabilistic model
- density estimation
- em algorithm
- maximum likelihood
- expectation maximization
- unsupervised learning
- travel time
- language model
- regression model
- service quality
- traffic congestion
- mixture modeling
- computer vision
- simulated annealing
- probabilistic mixture model
- gaussian mixture
- information services
- image segmentation
- information retrieval
- transport network