Author

E. Krainski

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Preprint Sep 2026

Cross Validation for the log Gaussian Cox Process

The log Gaussian Cox Process (LGCP) is one of the most widely used models for the analysis of spatial point patterns. Although Bayesian methods and software for fitting LGCPs are now well established, practical tools for model criticism, predictive assessment, and model comparison remain comparatively underdeveloped. T...

Hans Montcho, Håvard Rue, F. Lindgren et al. · 0 citations

Preprint Jul 2026

Informative Distance-Based Priors for Correlation Matrices Centred on a Target Reference

Specifying a prior over the space of correlation matrices is a persistent challenge in Bayesian analysis. The space is a curved manifold whose dimension grows quadratically with the number of variables, making substantive prior beliefs difficult to encode.\\ We propose a distance-based prior that assigns mass decaying...

A. Freni-Sterrantino, J. V. Niekerk, E. Krainski et al. · 1 citation