Autoregressive models for time series of random sums of positive variables: application to tree grow...
Autoregressive models for time series of random sums of positive variables: application to tree growth as a function of climate and insect outbreaks
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We present a broad class of semi-parametric models for time series of random sums of positive variables. Our methodology allows the number of terms inside the sum to be time-varying and is therefore well suited to many examples encountered in the natural sciences. We study the stability properties of the models and provide a valid statistical infer...
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Autoregressive models for time series of random sums of positive variables: application to tree growth as a function of climate and insect outbreaks
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TN_cdi_proquest_journals_2637817477
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2637817477
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2331-8422
