19 citations · 22 across the 4 of their papers we have counts for
4 papers
Spatial random field models based on Lévy indicator convolutions
Thomas Opitz
Process convolutions yield random fields with flexible marginal distributions and dependence beyond Gaussianity, but statistical inference is often hampered by a lack of closed-for…
Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
Luigi Lombardo, Thomas Opitz, Raphael Huser
We develop a stochastic modeling approach based on spatial point processes of log-Gaussian Cox type for a collection of around 5000 landslide events provoked by a precipitation tri…
Latent Gaussian modeling and INLA: A review with focus on space-time applications
Thomas Opitz
Bayesian hierarchical models with latent Gaussian layers have proven very flexible in capturing complex stochastic behavior and hierarchical structures in high-dimensional spatial…
Spline regression for zero-inflated models
T. Opitz, P. Tramini, N. Molinari
We propose a regression model for count data when the classical generalized linear model approach is too rigid due to a high outcome of zero counts and a nonlinear influence of con…