Selected article for: "counting process and critical transition"
Author: Emma Southall; Michael J. Tildesley; Louise Dyson
Title: Prospects for detecting early warning signals in discrete event sequence data: application to epidemiological incidence data
  • Document date: 2020_4_2
    • ID: dp4qv77q_26
    Snippet: A counting process can be used as a generalised theory to understand the dynamics of 192 the number of new events over a period of time. In particular, a diverse range of data 193 types can be described by a counting process and this motivates us to characterise how 194 statistics of such processes behave on the approach to a critical transition. Incidence 195 (the number of new cases, N t ) is a counting process, which is known to be described b.....
    Document: A counting process can be used as a generalised theory to understand the dynamics of 192 the number of new events over a period of time. In particular, a diverse range of data 193 types can be described by a counting process and this motivates us to characterise how 194 statistics of such processes behave on the approach to a critical transition. Incidence 195 (the number of new cases, N t ) is a counting process, which is known to be described by 196 a non-homogeneous Poisson process

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