Select Publications
Preprints
, 2024, ExtremalDep: Modelling extremal dependence in high-dimensional extremes, http://arxiv.org/abs/2412.13453v1
, 2024, Analysing symbolic data by pseudo-marginal methods, http://arxiv.org/abs/2408.04419v1
, 2024, Fast and flexible inference for spatial extremes, http://arxiv.org/abs/2407.13958v5
, 2020, Likelihood-based inference for modelling packet transit from thinned flow summaries, http://arxiv.org/abs/2008.13424v1
, 2019, Logistic regression models for aggregated data, http://arxiv.org/abs/1912.03805v2
, 2019, Composite likelihood methods for histogram-valued random variables, http://arxiv.org/abs/1908.11548v2
, 2019, High-dimensional inference using the extremal skew-$t$ process, http://arxiv.org/abs/1907.10187v4
, 2019, Estimation and uncertainty quantification for extreme quantile regions, http://arxiv.org/abs/1904.08251v4
, 2018, Extremal properties of the multivariate extended skew-normal distribution, http://arxiv.org/abs/1810.00680v1
, 2018, New models for symbolic data analysis, http://arxiv.org/abs/1809.03659v2
, 2018, Extremal properties of the univariate extended skew-normal distribution, http://arxiv.org/abs/1805.03316v2
, 2016, Constructing Likelihood Functions for Interval-valued Random Variables, http://arxiv.org/abs/1608.00107v2
, 2015, Extreme Dependence Models, http://arxiv.org/abs/1508.05561v1
, 2015, Extreme Dependence Models, http://dx.doi.org/10.48550/arxiv.1508.05561
, 2015, Models for extremal dependence derived from skew-symmetric families, http://arxiv.org/abs/1507.00108v3