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Identifying Seismicity Levels via Poisson Hidden Markov Models

  • Orfanogiannaki K
  • Karlis D
  • Papadopoulos G
Springer Basel, (2010), 65-77
DOI: 10.1007/978-3-0346-0500-7_6
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Abstract

Poisson Hidden Markov models (PHMMs) are introduced to model temporal seismicity changes. In a PHMM the unobserved sequence of states is a finite-state Markov chain and the distribution of the observation at any time is Poisson with rate depending only on the current...

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Orfanogiannaki, K., Karlis, D., & Papadopoulos, G. A. (2010). Identifying Seismicity Levels via Poisson Hidden Markov Models. In Seismogenesis and Earthquake Forecasting: The Frank Evison Volume II (pp. 65–77). Springer Basel. https://doi.org/10.1007/978-3-0346-0500-7_6

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