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Improved Inference On Risk Measures For Univariate Extremes

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Whereas the ability of deep networks to produce useful predictions on many kinds of data has been amply demonstrated, estimating the reliability of these predictions remains challenging. Sampling approaches such as MC-Dropout and Deep Ensembles have emerge ...

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Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

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Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

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Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

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Higher-order asymptotics provide accurate approximations for use in parametric statistical modelling. In this thesis, we investigate using higher-order approximations in two-specific settings, with a particular emphasis on the tangent exponential model. ...

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