In Extremis: Analysis of an Approach to Model Tail Dependence Asymmetry.
Random Walks in Spaces of Growing Dimension.
Consistency of some Gaussian process based sequential experimental design strategies in the vector-valued case.
Isotonic Distributional Approximation.
Area-covering postprocessing of ensemble precipitation forecasts using topographical and seasonal conditions.
Monte Carlo Estimators to Sensitivities of Tail Probabilities of Random Sums.
Isotonic Distributional Regression (IDR): A Powerful Nonparametric Calibration Technique.
Notions of Cross-Calibration for Probabilistic Forecasts
Stable Exchangeable Sequences
Stochastic Models of Liver Tissue Organization
A Monte Carlo Study of Organ Allocation to Optimize Transplantation Outcomes
Gradient Boosting for Maxima
A Multivariate Time Series Prediction using Statistical Models and Artificial Neural Networks
Central Limit Theorem for a Poisson Birth-Growth Model with Random Growth Speed of General Shape
Accuracy of Moderate Traffic Approximation and Importance Sampling Simulation in Collective Risk Theory
