Statistical analysis of big data based on parsimonious models of high-order Markov chains

DOI10.1007/978-3-319-71504-9_40zbMath1388.62242OpenAlexW2781235123MaRDI QIDQ1699901

Yuriy S. Kharin

Publication date: 26 February 2018

Full work available at URL: https://doi.org/10.1007/978-3-319-71504-9_40

zbMATH Keywords

statistical analysisbig datahigh-order Markov chaincomputer algorithmsparsimonious model

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Markov processes: hypothesis testing (62M02)

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