Estimation for hidden Markov random fields

被引：1
|
作者：
Elliott, RJ
Aggoun, L
机构：
[1] UNIV ALBERTA,DEPT MATH SCI,EDMONTON,AB T6G 2G1,CANADA
[2] UNIV AUCKLAND,DEPT STAT,AUCKLAND,NEW ZEALAND
来源：
JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1996年 / 50卷 / 03期
关键词：
Random field; noisy observation; parameter estimation;
D O I：
10.1016/0378-3758(95)00062-3
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
A finite state Markov random field is noisily observed via a second finite state process. The parameters of the model are estimated, as well as the most likely signal given the observations.
引用
收藏
页码：343 / 351
页数：9
相关论文
共 50 条
  • [21] Parameter estimation of hidden periodic model in random fields
    He Shuyuan
    Science in China Series A: Mathematics, 1999, 42 (3): : 238 - 245
  • [22] Parameter estimation of hidden periodic model in random fields
    Sci China Ser A, 3 (238-245):
  • [23] Parameter estimation of hidden periodic model in random fields
    何书元
    Science China Mathematics, 1999, (03) : 238 - 245
  • [24] Parameter estimation of hidden periodic model in random fields
    He, SY
    SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY, 1999, 42 (03): : 238 - 245
  • [25] Consistent estimation of the basic neighborhood of Markov random fields
    Csiszár, I
    Talata, Z
    2004 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS, 2004, : 170 - 170
  • [26] Markov Neighborhood Estimation with Linear Complexity for Random Fields
    Talata, Zsolt
    2014 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2014, : 3042 - 3046
  • [27] Continuous Markov Random Fields for Robust Stereo Estimation
    Yamaguchi, Koichiro
    Hazan, Tamir
    McAllester, David
    Urtasun, Raquel
    COMPUTER VISION - ECCV 2012, PT V, 2012, 7576 : 45 - 58
  • [28] Stochastic gradient estimation strategies for Markov random fields
    Younes, L
    BAYESIAN INFERENCE FOR INVERSE PROBLEMS, 1998, 3459 : 315 - 325
  • [29] Consistent estimation of the basic neighborhood of Markov random fields
    Csiszár, I
    Talata, Z
    ANNALS OF STATISTICS, 2006, 34 (01): : 123 - 145
  • [30] ON THE ESTIMATION OF NOISY BINARY MARKOV RANDOM-FIELDS
    GRAY, AJ
    KAY, JW
    TITTERINGTON, DM
    PATTERN RECOGNITION, 1992, 25 (07) : 749 - 768
12345