On the minimal penalty for Markov order estimation
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Publication:718903
DOI10.1007/s00440-010-0290-yzbMath1235.62120arXiv0908.3666OpenAlexW3100898496MaRDI QIDQ718903
Publication date: 27 September 2011
Published in: Probability Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0908.3666
Markov chainsmartingale inequalitiesempirical process theorylarge-scale typicalityuniform law of iterated logarithm
Inequalities; stochastic orderings (60E15) Martingales with discrete parameter (60G42) Markov processes: estimation; hidden Markov models (62M05) Strong limit theorems (60F15) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)
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Cites Work
- Unnamed Item
- Concentration inequalities and model selection. Ecole d'Eté de Probabilités de Saint-Flour XXXIII -- 2003.
- The consistency of the BIC Markov order estimator.
- Weak convergence and empirical processes. With applications to statistics
- Context tree estimation for not necessarily finite memory processes, via BIC and MDL
- Strongly consistent code-based identification and order estimation for constrained finite-state model classes
- Large-scale typicality of Markov sample paths and consistency of MDL order estimators