Yurij S. Kharin. Statistical Analysis of Big Data Based on Parsimonious Models of High-Order Markov Chains. In Vladimir V. Rykov, Nozer D. Singpurwalla, Andrey M. Zubkov, editors, Analytical and Computational Methods in Probability Theory - First International Conference, ACMPT 2017, Moscow, Russia, October 23-27, 2017, Proceedings. Volume 10684 of Lecture Notes in Computer Science, pages 485-496, Springer, 2017. [doi]
@inproceedings{Kharin17,
title = {Statistical Analysis of Big Data Based on Parsimonious Models of High-Order Markov Chains},
author = {Yurij S. Kharin},
year = {2017},
doi = {10.1007/978-3-319-71504-9_40},
url = {https://doi.org/10.1007/978-3-319-71504-9_40},
researchr = {https://researchr.org/publication/Kharin17},
cites = {0},
citedby = {0},
pages = {485-496},
booktitle = {Analytical and Computational Methods in Probability Theory - First International Conference, ACMPT 2017, Moscow, Russia, October 23-27, 2017, Proceedings},
editor = {Vladimir V. Rykov and Nozer D. Singpurwalla and Andrey M. Zubkov},
volume = {10684},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-71504-9},
}