A Comparative Study on Inflated and Dispersed Count Data

Monika Arora, Yash Kalyani, Shivam Shanker

2021

Abstract

: The availability of zero inflated count data has led to the demonstration of various statistical models and machine learning algorithms to be applied in diverse fields such as healthcare, economics and travel. However, in real life there could be a count k > 0 that is inflated. There are only a few studies on k− inflated count models. To the best of our knowledge, there is no article that demonstrates the machine learning algorithms on such data sets. We apply existing k− inflated count models as well as machine learning algorithms on travel data to compare the prediction and fitness of the models and find the significant covariates. Our study shows that the k− inflated models provide a good fit to the data, however, the predictions from machine learning algorithms are superior. This study can be extended further to include other artificial neural network approaches on a larger data set.

Paper Citation

in Harvard Style

Arora M., Kalyani Y. and Shanker S. (2021). A Comparative Study on Inflated and Dispersed Count Data. In Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-521-0, pages 29-38. DOI: 10.5220/0010547700290038

in Bibtex Style

@conference{data21,
author={Monika Arora and Yash Kalyani and Shivam Shanker},
title={A Comparative Study on Inflated and Dispersed Count Data},
booktitle={Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2021},
pages={29-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010547700290038},
isbn={978-989-758-521-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - A Comparative Study on Inflated and Dispersed Count Data
SN - 978-989-758-521-0
AU - Arora M.
AU - Kalyani Y.
AU - Shanker S.
PY - 2021
SP - 29
EP - 38
DO - 10.5220/0010547700290038