7 papers
Beyond Laplace: Closed-form wrapped Gaussian posterior approximations on statistical manifolds
Marcelo Hartmann, Luu Hoang Phuc Hau, Anton Mallasto +8
In Bayesian statistics, the Laplace approximation provides a computationally efficient approximation to posterior distributions. However, its Gaussian form restricts it to elliptic…
Optimal information deletion and Bayes' theorem
Hans Montcho, HÃ¥vard Rue
Arnold Zellner published a seminal paper on Bayes' theorem as an optimal information processing rule, a result that led to the variational formulation of Bayes' theorem, and a cent…
Spatially continuous modelling of aggregated outcome data
Stephen Jun Villejo, Peter Diggle, Finn Lindgren +5
This work develops a block aggregation approach to spatial estimation and prediction when the response is observed at a coarse spatial scale, for example as counts of events in adm…
Bayesian identification of early warning signals for long-range dependent climatic time series
Sigrunn H. Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue
Detecting early warning signals in climatic time series is essential for anticipating critical transitions and tipping points. Common statistical indicators include increased varia…
A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
Dionisio Silva Neto, Denis Rustand, Haavard Rue +2
In recent medical studies, the combination of longitudinal measurements with time-to-event data has increased the demand for more sophisticated models without unbiased estimates. J…
Statistical inference for radial generalized Pareto distributions and return sets in geometric extremes
Ioannis Papastathopoulos, Lambert de Monte, Ryan Campbell +1
We use a functional analogue of the quantile function for probability measures on to characterize a novel limit Poisson point process for radially recentred and resc…