REPRESENTATION OF SOCIAL PROCESSES BY MARKOV MODELS

被引:137
|
作者
SINGER, B
SPILERMAN, S
机构
[1] COLUMBIA UNIV, NEW YORK, NY 10027 USA
[2] UNIV WISCONSIN, MADISON, WI 53706 USA
关键词
D O I
10.1086/226269
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
引用
收藏
页码:1 / 54
页数:54
相关论文
共 50 条
  • [41] POISSON REPRESENTATION OF MARKOV COHORT STATE-TRANSITION MODELS
    Iskandar, R.
    [J]. VALUE IN HEALTH, 2019, 22 : S770 - S770
  • [42] ARMA representation of squared Markov switching heteroskedastic models - Solution
    Distaso, W
    [J]. ECONOMETRIC THEORY, 2003, 19 (02) : 412 - 413
  • [43] Spectral representation and autocovariance structure of Markov switching DSGE models
    Cavicchioli, Maddalena
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2020, 49 (07) : 1635 - 1652
  • [44] An exponential representation in the API algorithm for hidden Markov models training
    Aupetit, Sebastien
    Monmarche, Nicolas
    Slimane, Mohamed
    Liardet, Pierre
    [J]. ARTIFICIAL EVOLUTION, 2006, 3871 : 61 - 72
  • [45] Auroral Sequence Representation and Classification Using Hidden Markov Models
    Yang, Qiuju
    Liang, Jimin
    Hu, Zejun
    Zhao, Heng
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (12): : 5049 - 5060
  • [46] Constructal models in social processes
    Merkx, Gilbert W.
    [J]. Constructal Theory of Social Dynamics, 2007, : 35 - 50
  • [47] SOCIAL MODELS - BLUEPRINTS OR PROCESSES
    LITTLE, GR
    [J]. IMPACT OF SCIENCE ON SOCIETY, 1981, 31 (04) : 439 - 447
  • [48] MARKOV-PROCESSES ARISING IN LEARNING-MODELS
    KEMENY, JG
    SNELL, JL
    [J]. ANNALS OF MATHEMATICAL STATISTICS, 1956, 27 (01): : 216 - 216
  • [49] MDPFuzz: Testing Models Solving Markov Decision Processes
    Pang, Qi
    Yuan, Yuanyuan
    Wang, Shuai
    [J]. PROCEEDINGS OF THE 31ST ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS, ISSTA 2022, 2022, : 378 - 390
  • [50] Representation of physical processes in weather and climate models
    Mukhopadhyay, P.
    Nanjundiah, Ravi S.
    [J]. CURRENT SCIENCE, 2018, 114 (06): : 1155 - 1155