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08/31/2020
Likelihood-based inference for modelling packet transit from thinned flow summaries
The substantial growth of network traffic speed and volume presents prac...
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12/09/2019
Logistic regression models for aggregated data
Logistic regression models are a popular and effective method to predict...
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08/30/2019
Composite likelihood methods for histogram-valued random variables
Symbolic data analysis has been proposed as a technique for summarising ...
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04/17/2019
Estimation and uncertainty quantification for extreme quantile regions
Estimation of extreme quantile regions, spaces in which future extreme e...
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09/28/2018
Extremal properties of the multivariate extended skew-normal distribution
The skew-normal and related families are flexible and asymmetric paramet...
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09/11/2018
New models for symbolic data analysis
Symbolic data analysis (SDA) is an emerging area of statistics based on ...
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05/08/2018