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Detecting time-changes in \(PM_{10}\) during covid pandemic by means of an Ornstein Uhlenbeck type process

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Publication:1980127
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DOI10.3934/mbe.2021047zbMath1468.92056OpenAlexW3118585626MaRDI QIDQ1980127

Giuseppina Albano

Publication date: 3 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021047

zbMATH Keywords

structural breaks\( PM_{10} \)estimating procedurenon-homogeneous Ornstein Uhlenbeck processes


Mathematics Subject Classification ID

Epidemiology (92D30)




Cites Work

  • On the return process with refractoriness for a non-homogeneous Ornstein-Uhlenbeck neuronal model
  • A spatial stochastic neuronal model with Ornstein-Uhlenbeck input current
  • Inference on the effect of non homogeneous inputs in Ornstein-Uhlenbeck neuronal modeling
  • Inferring time non-homogeneous Ornstein Uhlenbeck type stochastic process
  • Inference on an heteroscedastic Gompertz tumor growth model
  • Reconstructing missing data sequences in multivariate time series: an application to environmental data
  • Restricted Ornstein-Uhlenbeck process and applications in neuronal models with periodic input signals
  • Inference in Nonlinear Econometric Models with Structural Change
  • On short-term loan interest rate models: a first passage time approach
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