Using literal and grammatical statistics for authorship attribution

DOI10.1023/A:1010478226705zbMath1008.62118MaRDI QIDQ1347407

D. V. Khmelev, O. V. Kukushkina, A. A. Polikarpov

Publication date: 3 June 2002

Published in: Problems of Information Transmission (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics (62P99) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (9)

Sublinear algorithms for approximating string compressibility ⋮ Probabilistic neural network with homogeneity testing in recognition of discrete patterns set ⋮ Application of data compression methods to nonparametric estimation of characteristics of discrete-time stochastic processes ⋮ Information-theoretic method for classification of texts ⋮ An example of mathematical authorship attribution ⋮ Artificial sequences and complexity measures ⋮ Experimental investigation of forecasting methods based on data compression algorithms ⋮ Authorship attribution of texts: a review ⋮ Data compression and learning in time sequences analysis

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