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Statistical estimation of parameters for binary Markov chain models with embeddings
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Yu. S. Kharin
Published/Copyright:
December 5, 2013
Abstract
- Markov chains with embeddings as steganography models are considered. Statistical estimators of the model parameters based on frequencies and correlation statistics are constructed and analysed. A polynomial algorithm for likelihood function computing is developed. The maximum likelihood estimators based on this algorithm are constructed. The results of computer experiments are presented.
Published Online: 2013-12-05
Published in Print: 2013-12
© 2013 by Walter de Gruyter GmbH & Co.
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- On the solvability of the equational theory of commutative medial n-ary groupoids
- Estimating the stability radius of the vector MAX-CUT problem
- Statistical estimation of parameters for binary Markov chain models with embeddings
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Articles in the same Issue
- Masthead
- On the solvability of the equational theory of commutative medial n-ary groupoids
- Estimating the stability radius of the vector MAX-CUT problem
- Statistical estimation of parameters for binary Markov chain models with embeddings
- A simplified proof of a lower complexity estimate
- Finite groups with nilpotent and Hall subgroups
- Implementing the multiplication of polynomial matrices over the field GF(2) by means of the fast Fourier transform
- The number of differences in groups of prime order
- Characteristic submodules of injective modules
- On transformations of probability distributions by read-once quasigroup formulae
