A method of hidden Markov model optimization for use with geophysical data sets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2659, Issue , 2003, Pages 892-901

  Granat, Robert A ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GEOPHYSICS; MARKOV PROCESSES;

AUTOMATED TECHNIQUES; GEOPHYSICAL DATA; LOCAL MAXIMUM; OBJECTIVE FUNCTIONS; PARAMETER-TUNING; SEISMIC RECORDS; SYSTEMATIC ANALYSIS;

HIDDEN MARKOV MODELS;

EID: 33846472526     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44863-2_88     Document Type: Article

References (7)

1. L. E. Baum. An inequality and associated maximization technique in statistical estimation for probabilistic functions of markov processes. Inequalities, 3:1-8, 1972.
2. L. E. Baum and J. A. Egon. An inequality with applications to statistical estimation for probabilistic functions of a markov process and to a model for ecology. Bull Amer Meteorol Soc, 73:360-363, 1967.
3. L. E. Baum and T. Petric. Statistical inference for probabilistic functions of finite state markov chains. Ann Math Stat, 37:1554-1563, 1966.
4. L. E. Baum, T. Petrie, G. Soules, and H. Weiss. A maximization technique occuring in the statistical analysis of probabilistic functions of markov chains. Ann Math Soc, 41(1):164-171, 1970.
5. L. E. Baum and G. R. Sell. Growth functions for transformations on manifolds. Pac J Math, 27(2):211-227, 1968.
6. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the em algorith. J Roy Stat Soc, 39(1):1-38, 1977.
7. L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. P IEEE, 77(2):257-286, 1989.