• Corpus ID: 88523785

New formulation of the Logistic-Normal process to analyze trajectory tracking data

@article{Mastrantonio2018NewFO,
  title={New formulation of the Logistic-Normal process to analyze trajectory tracking data},
  author={Gianluca Mastrantonio and Clara Grazian and S. Mancinelli and Enrico Bibbona},
  journal={arXiv: Applications},
  year={2018}
}
Improved communication systems, shrinking battery sizes and the price drop of tracking devices have led to an increasing availability of trajectory tracking data. These data are often analyzed to understand animals behavior using mixture-type model. Due to their straightforward implementation and efficiency, hidden Markov mod- els are generally used but they are based on assumptions that are rarely verified on real data. In this work we propose a new model based on the Logistic-Normal process… 

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