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The plateau of human mortality: Demography of longevity pioneers
TLDR
Hazard rates from data on all inhabitants of Italy aged 105 and older between 2009 and 2015 are estimated and provide the best evidence to date for the existence of extreme-age mortality plateaus in humans.
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Symmetrically Dividing Cells of the Fission Yeast Schizosaccharomyces Pombe Do Age
TLDR
Results indicate that S. pombe does age, but does so in a different way from other studied species and can explain why the pool of young cells remains large enough to prevent the rapid extinction of the population.
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Regression analysis of correlated circular data based on the multivariate von Mises distribution
  • F. Lagona
  • Mathematics
    Environmental and Ecological Statistics
  • 1 March 2016
A regression model for correlated circular data is proposed by assuming that samples of angular measurements are drawn from a multivariate von Mises distribution with mean and concentration…
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The political legislation cycle
Abstract The economic theory of legislation holds that laws, even when they do not involve financial resources, redistribute property rights. Politicians supply legislation to groups with the highest…
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Model-based segmentation of spatial cylindrical data
ABSTRACT A new hidden Markov random field model is proposed for the analysis of cylindrical spatial series, i.e. bivariate spatial series of intensities and angles. It allows us to segment…
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A hidden Markov model for the analysis of cylindrical time series
A new hidden Markov model is proposed for the analysis of cylindrical time series, that is, bivariate time series of intensities and angles. It allows us to segment cylindrical time series according…
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A non-homogeneous hidden Markov model for the analysis of multi-pollutant exceedances data
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A Multivariate Hidden Markov Model for the Identification of Sea Regimes from Incomplete Skewed and Circular Time Series
The identification of sea regimes from environmental multivariate times series is complicated by the mixed linear–circular support of the data, by the occurrence of missing values, by the skewness of…
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A hidden Markov approach to the analysis of space–time environmental data with linear and circular components
TLDR
A multivariate hidden Markov model that includes features of the data within a single framework, associated with easily interpretable components of large-scale and small-scale spatial variation, and provides a parsimonious representation of the sea surface in terms of alternating environmental states.
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Copula-based segmentation of cylindrical time series
  • F. Lagona
  • Computer Science
    Statistics & Probability Letters
  • 2019
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