Using Hidden Markov Models in Estimating the Parameters of Hierarchical Systems

被引：0
|
作者：
O. A. Voina
机构：
[1] Taras Shevchenko National University of Kyiv,
来源：
Cybernetics and Systems Analysis | 2021年 / 57卷
关键词：
hidden Markov model; queueing system; statistical estimation; distortion function;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The method of parametric estimation for hierarchical stochastic models under incomplete observations is considered. The method is based on the features of the correlation structure of hierarchical models. The main attention is paid to the practical implementation of the method. In particular, an approach is proposed that combines analytical studies and empirical verification of the solutions. Specific examples of constructing consistent estimates of the vector parameters of the distortion function are provided and illustrated by direct calculations with numerical data of the simulation model.
引用
收藏
页码：730 / 739
页数：9
相关论文
共 50 条
  • [1] USING HIDDEN MARKOV MODELS IN ESTIMATING THE PARAMETERS OF HIERARCHICAL SYSTEMS
    Voina, O. A.
    [J]. CYBERNETICS AND SYSTEMS ANALYSIS, 2021, 57 (05) : 730 - 739
  • [2] HEALTHCARE AUDIO EVENT CLASSIFICATION USING HIDDEN MARKOV MODELS AND HIERARCHICAL HIDDEN MARKOV MODELS
    Peng, Ya-Ti
    Lin, Ching-Yung
    Sun, Ming-Ting
    Tsai, Kun-Cheng
    [J]. ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3, 2009, : 1218 - +
  • [3] Automatic syllabification using hierarchical hidden Markov models
    Nel, P
    du Preez, J
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS: SPEECH PROCESSING I, 2003, : 768 - 771
  • [4] Experimental evaluation of Hierarchical Hidden Markov Models
    Giordana, A
    Galassi, U
    Saitta, L
    [J]. AI*IA2005: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2005, 3673 : 249 - 257
  • [5] Hierarchical correlation compensation for hidden Markov models
    Lin, H
    Tian, Y
    Zhou, JL
    Jiang, H
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 673 - 676
  • [6] Hierarchical hidden markov models in image segmentation
    Ameur, M.
    Daoui, C.
    Idrissi, N.
    [J]. Scientific Visualization, 2020, 12 (01): : 22 - 47
  • [7] ESTIMATING THE ORDER OF HIDDEN MARKOV-MODELS
    RYDEN, T
    [J]. STATISTICS, 1995, 26 (04) : 345 - 354
  • [8] Estimating Neuronal Ageing with Hidden Markov Models
    Wang, Bing
    Pham, Tuan D.
    [J]. 2011 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS-11), 2011, 1371 : 110 - 117
  • [9] Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models
    Martindale, Christine F.
    Hoenig, Florian
    Strohrmann, Christina
    Eskofier, Bjoern M.
    [J]. SENSORS, 2017, 17 (10)
  • [10] Estimating Empirical Codon Hidden Markov Models
    De Maio, Nicola
    Holmes, Ian
    Schloetterer, Christian
    Kosiol, Carolin
    [J]. MOLECULAR BIOLOGY AND EVOLUTION, 2013, 30 (03) : 725 - 736
12345