In disease mapping, the overall goal is to study the incidence or mortality risk caused by a specific disease in a number of geographical regions. It is common to assume that the response variable follows a Poisson ...

A multilevel model of the housing market for San Jose Metropolitan Region (Costa Rica) was developed, including spatial effects. Hierarchical relations (lower level units nested into higher level) were modeled by specifying ...

Key message: Based on an empirical dataset originating from the French Douglas-fir breeding program, we showed that the bidimensional autoregressive and the two-dimensional P-spline regression spatial models clearly ...

In this paper, we identify and quantify the importance of endogenous peer effects in the interbank market, allowing for varying degrees of intensity of these peer effects. We base our analysis on a unique dataset that ...

Robust methods have been a successful approach for dealing with contamination and noise in the context of spatial statistics and, in particular, in image processing. In this paper, we introduce a new robust method for ...

Comparative multienvironment trials (METs) of sugarcane genotypes are frequently conducted using a randomized complete-block design (RCBD) within environments. However, blocking does not always ensure spatial variation ...