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John P Lehoczky

Datos Biográficos

ID3449531
NOMBREJohn P Lehoczky
NOMBRESJohn P
APELLIDOLehoczky
FIRMALEHOCZKY J P
AFILIACIONESCarnegie Mellon University
VERIFICADONo
TOTAL DE OBRAS3
TOTAL DE CITAS5
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN1980
AÑO MÁS RECIENTE DE PUBLICACIÓN2015
ÍNDICE H1
  • Distributions, Statistical

    Open Access•John P Lehoczky•CHAPTER•International Encyclopedia of the…•2015

  • Distributions, Statistical

    Open Access•John P Lehoczky•CHAPTER•International Encyclopedia of the…•2015

  • Approximations for interactive Markov chains in discrete and continuous time

    John P Lehoczky•ARTICLE•Journal of Mathematical Sociology•1980•Citada por: 5•Referencias: 1

    A class of models called interactive Markov chains is studied in both discrete and continuous time. These models were introduced by Conlisk and serve as a rich class for sociological modeling, because they allow for interactions among individuals. In discrete time, it is proved that the Markovian processes converge to a deterministic process almost surely as the population size becomes infinite. More importantly, the normalized process is shown t…

  • Approximations for interactive Markov chains in discrete and continuous time

    John P Lehoczky•ARTICLE•Journal of Mathematical Sociology•1980•Citada por: 5•Referencias: 1

    A class of models called interactive Markov chains is studied in both discrete and continuous time. These models were introduced by Conlisk and serve as a rich class for sociological modeling, because they allow for interactions among individuals. In discrete time, it is proved that the Markovian processes converge to a deterministic process almost surely as the population size becomes infinite. More importantly, the normalized process is shown t…

  • Approximations for interactive Markov chains in discrete and continuous time

    John P Lehoczky•ARTICLE•Journal of Mathematical Sociology•1980•Citada por: 5•Referencias: 1

    A class of models called interactive Markov chains is studied in both discrete and continuous time. These models were introduced by Conlisk and serve as a rich class for sociological modeling, because they allow for interactions among individuals. In discrete time, it is proved that the Markovian processes converge to a deterministic process almost surely as the population size becomes infinite. More importantly, the normalized process is shown t…

  • Distributions, Statistical

    Open Access•John P Lehoczky•CHAPTER•International Encyclopedia of the…•2015

  • Distributions, Statistical

    Open Access•John P Lehoczky•CHAPTER•International Encyclopedia of the…•2015

Mathematics (3 obras) · Statistics (3 obras) · Applied Mathematics (2 obras) · Exponential distribution (2 obras) · Heavy-tailed distribution (2 obras) · Probability distribution (2 obras) · Statistical Distribution Estimation and Applications (2 obras) · Statistical Methods and Bayesian Inference (2 obras) · Advanced Queuing Theory Analysis (1 obra) · Applied Mathematics (1 obra)

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