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Stochastic Processes or the Statistics of Change

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  • Maurice S. Bartlett

Abstract

The term 'stochastic processes' is used to denote statistical phenomena that develop in time and the theoretical models that arise in their treatment, and as these are encountered in many fields, this article has a wide practical interest. Professor Bartlett indicates how stochastic processes arise in physics and communication engineering, industry, economics, biology, and medicine. As an example he describes the construction of a mock epidemic series simulating successive measles outbreaks in a boarding school.

Suggested Citation

  • Maurice S. Bartlett, 1953. "Stochastic Processes or the Statistics of Change," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 2(1), pages 44-64, March.
    • Handle: RePEc:bla:jorssc:v:2:y:1953:i:1:p:44-64
    DOI: 10.2307/2985327
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    Cited by:

    1. Christian L Vestergaard & Mathieu Génois, 2015. "Temporal Gillespie Algorithm: Fast Simulation of Contagion Processes on Time-Varying Networks," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-28, October.

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